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谢肖飞
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- affiliation: Nanyang Technological University, Singapore
- unicode name: 谢肖飞
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Journal Articles
- 2024
[j27]Ziming Zhao
, Zhaoxuan Li, Zhihao Zhou, Jiongchi Yu, Zhuoxue Song, Xiaofei Xie, Fan Zhang, Rui Zhang:
DDoS family: A novel perspective for massive types of DDoS attacks. Comput. Secur. 138: 103663 (2024)- [j26]Ziming Zhao, Zhaoxuan Li, Jiongchi Yu, Fan Zhang, Xiaofei Xie, Haitao Xu, Binbin Chen:
CMD: Co-Analyzed IoT Malware Detection and Forensics via Network and Hardware Domains. IEEE Trans. Mob. Comput. 23(5): 5589-5603 (2024) - [j25]Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo, Aishan Liu, Lei Ma, Yang Liu:
Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis. ACM Trans. Softw. Eng. Methodol. 33(1): 21:1-21:24 (2024) - [j24]Yuhan Zhi, Xiaofei Xie, Chao Shen, Jun Sun, Xiaoyu Zhang, Xiaohong Guan:
Seed Selection for Testing Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 33(1): 23:1-23:33 (2024) - [j23]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon:
LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing. ACM Trans. Softw. Eng. Methodol. 33(1): 25:1-25:28 (2024) - [j22]Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon:
KAPE: kNN-based Performance Testing for Deep Code Search. ACM Trans. Softw. Eng. Methodol. 33(2): 48:1-48:24 (2024) - [j21]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Test Optimization in DNN Testing: A Survey. ACM Trans. Softw. Eng. Methodol. 33(4): 111:1-111:42 (2024) - [j20]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. IEEE Trans. Software Eng. 50(5): 1080-1095 (2024) - 2023
- [j19]Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang:
Neuron Coverage-Guided Domain Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1302-1311 (2023) - [j18]Maxime Cordy, Xiaofei Xie, Bowen Xu, Bibi Stamatia:
MaLTeSQuE 2022 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 48(1): 95-96 (2023) - [j17]Yao Zhang, Xiaofei Xie, Yi Li, Yun Lin, Sen Chen, Yang Liu, Xiaohong Li:
Demystifying Performance Regressions in String Solvers. IEEE Trans. Software Eng. 49(3): 947-961 (2023) - [j16]Shangqing Liu, Xiaofei Xie, Jing Kai Siow, Lei Ma, Guozhu Meng, Yang Liu:
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search. IEEE Trans. Software Eng. 49(4): 2839-2855 (2023) - [j15]Ke Liu, Xiang Chen, Chunyang Chen, Xiaofei Xie, Zhanqi Cui:
Automated Question Title Reformulation by Mining Modification Logs From Stack Overflow. IEEE Trans. Software Eng. 49(9): 4390-4410 (2023) - 2022
- [j14]Zhuo Li, Yuechen Wu, Lei Ma, Xiaofei Xie, Yingfeng Chen, Changjie Fan:
GBGallery : A benchmark and framework for game testing. Empir. Softw. Eng. 27(6): 140 (2022) - [j13]Shangwei Guo, Tianwei Zhang, Han Yu, Xiaofei Xie, Lei Ma, Tao Xiang, Yang Liu:
Byzantine-Resilient Decentralized Stochastic Gradient Descent. IEEE Trans. Circuits Syst. Video Technol. 32(6): 4096-4106 (2022) - [j12]Guangquan Xu, Xiaofei Xie, Shuhan Huang, Jun Zhang, Lei Pan, Wei Lou, Kaitai Liang:
JSCSP: A Novel Policy-Based XSS Defense Mechanism for Browsers. IEEE Trans. Dependable Secur. Comput. 19(2): 862-878 (2022) - [j11]Chengwei Zhang, Yu Tian, Zhibin Zhang, Wanli Xue, Xiaofei Xie, Tianpei Yang, Xin Ge, Rong Chen:
Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions. IEEE Trans. Intell. Transp. Syst. 23(12): 25157-25168 (2022) - [j10]Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu:
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6976-6982 (2022) - [j9]Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu:
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 31(3): 47:1-47:27 (2022) - [j8]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, Yves Le Traon:
An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement. ACM Trans. Softw. Eng. Methodol. 31(4): 78:1-78:30 (2022) - [j7]Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao:
DeepRepair: Style-Guided Repairing for Deep Neural Networks in the Real-World Operational Environment. IEEE Trans. Reliab. 71(4): 1401-1416 (2022) - 2021
- [j6]Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie:
Understanding adversarial robustness via critical attacking route. Inf. Sci. 547: 568-578 (2021) - [j5]Ming Fan, Wenying Wei, Xiaofei Xie, Yang Liu, Xiaohong Guan, Ting Liu:
Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis. IEEE Trans. Inf. Forensics Secur. 16: 838-853 (2021) - [j4]Ruitao Feng, Sen Chen, Xiaofei Xie, Guozhu Meng, Shang-Wei Lin, Yang Liu:
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices. IEEE Trans. Inf. Forensics Secur. 16: 1563-1578 (2021) - [j3]Ming Fan, Ziliang Si, Xiaofei Xie, Yang Liu, Ting Liu:
Text Backdoor Detection Using an Interpretable RNN Abstract Model. IEEE Trans. Inf. Forensics Secur. 16: 4117-4132 (2021) - [j2]Chengwei Zhang, Shan Jin, Wanli Xue, Xiaofei Xie, Shengyong Chen, Rong Chen:
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem. IEEE Trans. Veh. Technol. 70(8): 7426-7436 (2021) - 2019
- [j1]Xiaofei Xie, Bihuan Chen, Liang Zou, Yang Liu, Wei Le, Xiaohong Li:
Automatic Loop Summarization via Path Dependency Analysis. IEEE Trans. Software Eng. 45(6): 537-557 (2019)
Conference and Workshop Papers
- 2024
- [c86]Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng:
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. ICSE 2024: 34:1-34:13 - [c85]Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, Yang Liu:
GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis. ICSE 2024: 166:1-166:13 - [c84]Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu:
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. LCTES 2024: 166-177 - 2023
- [c83]Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu:
Multi-target Backdoor Attacks for Code Pre-trained Models. ACL (1) 2023: 7236-7254 - [c82]Mingtian Tan, Xiaofei Xie, Jun Sun, Tianhao Wang:
Mitigating Membership Inference Attacks via Weighted Smoothing. ACSAC 2023: 787-798 - [c81]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon:
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. CAIN 2023: 56-67 - [c80]Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Evading DeepFake Detectors via Adversarial Statistical Consistency. CVPR 2023: 12271-12280 - [c79]Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu:
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search. EMNLP (Findings) 2023: 9706-9716 - [c78]Fei Zhang, Ruitao Feng, Xiaofei Xie, Xiaohong Li, Lianshuan Shi:
SeqAdver: Automatic Payload Construction and Injection in Sequence-based Android Adversarial Attack. ICDM (Workshops) 2023: 1342-1351 - [c77]Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. ICLR 2023 - [c76]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon:
CodeS: Towards Code Model Generalization Under Distribution Shift. ICSE (NIER) 2023: 1-6 - [c75]Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Yujing Hu, Ruochen Huang, Lei Ma, Jianjun Zhao:
Widget Detection-based Testing for Industrial Mobile Games. ICSE-SEIP 2023: 173-184 - [c74]Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Jingyu Hu, Fan Zhang:
GameRTS: A Regression Testing Framework for Video Games. ICSE 2023: 1393-1404 - [c73]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon:
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation. ICSE 2023: 1776-1787 - [c72]Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. ICSE 2023: 2476-2487 - [c71]Mingfei Cheng, Yuan Zhou, Xiaofei Xie:
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. ISSTA 2023: 488-500 - [c70]Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Generative Model-Based Testing on Decision-Making Policies. ASE 2023: 243-254 - [c69]Yao Zhang, Xiaofei Xie, Yi Li, Sen Chen, Cen Zhang, Xiaohong Li:
EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software. ASE 2023: 686-697 - [c68]Longtian Wang, Xiaofei Xie, Xiaoning Du, Meng Tian, Qing Guo, Zheng Yang, Chao Shen:
DistXplore: Distribution-Guided Testing for Evaluating and Enhancing Deep Learning Systems. ESEC/SIGSOFT FSE 2023: 68-80 - [c67]Cen Zhang, Yuekang Li, Hao Zhou, Xiaohan Zhang, Yaowen Zheng, Xian Zhan, Xiaofei Xie, Xiapu Luo, Xinghua Li, Yang Liu, Sheikh Mahbub Habib:
Automata-Guided Control-Flow-Sensitive Fuzz Driver Generation. USENIX Security Symposium 2023: 2867-2884 - [c66]Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma:
Decompiling x86 Deep Neural Network Executables. USENIX Security Symposium 2023: 7357-7374 - 2022
- [c65]Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li, Yang Liu:
Cross-lingual transfer learning for statistical type inference. ISSTA 2022: 239-250 - [c64]Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu:
Towards Understanding the Faults of JavaScript-Based Deep Learning Systems. ASE 2022: 105:1-105:13 - [c63]Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu:
TransRepair: Context-aware Program Repair for Compilation Errors. ASE 2022: 108:1-108:13 - [c62]Liming Zhai, Qing Guo, Xiaofei Xie, Lei Ma, Yi Estelle Wang, Yang Liu:
A3GAN: Attribute-Aware Anonymization Networks for Face De-identification. ACM Multimedia 2022: 5303-5313 - [c61]Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon:
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. MSR 2022: 524-536 - [c60]Xiuhan Shi, Xiaofei Xie, Yi Li, Yao Zhang, Sen Chen, Xiaohong Li:
Large-scale analysis of non-termination bugs in real-world OSS projects. ESEC/SIGSOFT FSE 2022: 256-268 - [c59]Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu:
Learning Program Semantics with Code Representations: An Empirical Study. SANER 2022: 554-565 - 2021
- [c58]Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao:
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. AAAI 2021: 1487-1495 - [c57]Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun:
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks. AAAI 2021: 11699-11707 - [c56]Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Yang Liu:
Stealing Deep Reinforcement Learning Models for Fun and Profit. AsiaCCS 2021: 307-319 - [c55]Xiaofei Xie, Jingyi Shen, Yifan Zhao, Ruilin Yang:
Research and Design of Big Data Relevance Analysis System for Land Development Industry Chain. ICCCS 2021: 53-58 - [c54]Xiaoyu He, Xiaofei Xie, Yuekang Li, Jianwen Sun, Feng Li, Wei Zou, Yang Liu, Lei Yu, Jianhua Zhou, Wenchang Shi, Wei Huo:
SoFi: Reflection-Augmented Fuzzing for JavaScript Engines. CCS 2021: 2229-2242 - [c53]Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao:
Learning to Adversarially Blur Visual Object Tracking. ICCV 2021: 10819-10828 - [c52]Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu:
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN. ICLR 2021 - [c51]Binyu Tian, Qing Guo, Felix Juefei-Xu, Wen Le Chan, Yupeng Cheng, Xiaohong Li, Xiaofei Xie, Shengchao Qin:
Bias Field Poses a Threat to DNN-Based X-Ray Recognition. ICME 2021: 1-6 - [c50]Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing:
RNNRepair: Automatic RNN Repair via Model-based Analysis. ICML 2021: 11383-11392 - [c49]Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu:
Automatic Web Testing Using Curiosity-Driven Reinforcement Learning. ICSE 2021: 423-435 - [c48]Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu:
AVA: Adversarial Vignetting Attack against Visual Recognition. IJCAI 2021: 1046-1053 - [c47]Yuekang Li, Guozhu Meng, Jun Xu, Cen Zhang, Hongxu Chen, Xiaofei Xie, Haijun Wang, Yang Liu:
Vall-nut: Principled Anti-Grey box - Fuzzing. ISSRE 2021: 288-299 - [c46]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon:
Towards Exploring the Limitations of Active Learning: An Empirical Study. ASE 2021: 917-929 - [c45]Siqi Li, Yun Lin, Xiaofei Xie, Yuekang Li, Xiaohong Li, Weimin Ge, Yang Liu, Jin Song Dong:
A First Look at the Effect of Deep Learning in Coverage-guided Fuzzing. ASE 2021: 1186-1189 - [c44]Jiaming Ye, Ke Chen, Xiaofei Xie, Lei Ma, Ruochen Huang, Yingfeng Chen, Yinxing Xue, Jianjun Zhao:
An empirical study of GUI widget detection for industrial mobile games. ESEC/SIGSOFT FSE 2021: 1427-1437 - [c43]Yingwen Lin, Yao Zhang, Sen Chen, Fu Song, Xiaofei Xie, Xiaohong Li, Lintan Sun:
Inferring Loop Invariants for Multi-Path Loops. TASE 2021: 63-70 - 2020
- [c42]Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu:
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. AAAI 2020: 5883-5891 - [c41]Lingjun Zhou, Bing Yu, David Berend, Xiaofei Xie, Xiaohong Li, Jianjun Zhao, Xusheng Liu:
An Empirical Study on Robustness of DNNs with Out-of-Distribution Awareness. APSEC 2020: 266-275 - [c40]Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu:
SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking. ECCV (25) 2020: 202-219 - [c39]Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun:
Towards characterizing adversarial defects of deep learning software from the lens of uncertainty. ICSE 2020: 739-751 - [c38]Cheng Wen, Haijun Wang, Yuekang Li, Shengchao Qin, Yang Liu, Zhiwu Xu, Hongxu Chen, Xiaofei Xie, Geguang Pu, Ting Liu:
MemLock: memory usage guided fuzzing. ICSE 2020: 765-777 - [c37]Haijun Wang, Xiaofei Xie, Yi Li, Cheng Wen, Yuekang Li, Yang Liu, Shengchao Qin, Hongxu Chen, Yulei Sui:
Typestate-guided fuzzer for discovering use-after-free vulnerabilities. ICSE 2020: 999-1010 - [c36]Yuechen Wu, Yingfeng Chen, Xiaofei Xie, Bing Yu, Changjie Fan, Lei Ma:
Regression Testing of Massively Multiplayer Online Role-Playing Games. ICSME 2020: 692-696 - [c35]Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu:
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces. IJCAI 2020: 3444-3451 - [c34]Xiongfei Wu, Liangyu Qin, Bing Yu, Xiaofei Xie, Lei Ma, Yinxing Xue, Yang Liu, Jianjun Zhao:
How are Deep Learning Models Similar?: An Empirical Study on Clone Analysis of Deep Learning Software. ICPC 2020: 172-183 - [c33]Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, Jianjun Zhao:
Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems. ASE 2020: 423-435 - [c32]Qianyu Guo, Xiaofei Xie, Yi Li, Xiaoyu Zhang, Yang Liu, Xiaohong Li, Chao Shen:
Audee: Automated Testing for Deep Learning Frameworks. ASE 2020: 486-498 - [c31]Lili Quan, Qianyu Guo, Hongxu Chen, Xiaofei Xie, Xiaohong Li, Yang Liu, Jing Hu:
SADT: Syntax-Aware Differential Testing of Certificate Validation in SSL/TLS Implementations. ASE 2020: 524-535 - [c30]David Berend, Xiaofei Xie, Lei Ma, Lingjun Zhou, Yang Liu, Chi Xu, Jianjun Zhao:
Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness. ASE 2020: 1041-1052 - [c29]Run Wang, Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu:
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices. ACM Multimedia 2020: 1207-1216 - [c28]Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu:
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction. ACM Multimedia 2020: 1217-1226 - [c27]Run Wang, Felix Juefei-Xu, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Yang Liu:
Amora: Black-box Adversarial Morphing Attack. ACM Multimedia 2020: 1376-1385 - [c26]Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao:
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms. ACM Multimedia 2020: 4318-4327 - [c25]Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu:
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks. NeurIPS 2020 - [c24]Mengmeng Jiang, Xiaohong Li, Xiaofei Xie, Yao Zhang:
An Empirical Study in Software Verification Tools. TASE 2020: 201-208 - 2019
- [c23]Ruitao Feng, Sen Chen, Xiaofei Xie, Lei Ma, Guozhu Meng, Yang Liu, Shang-Wei Lin:
MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform. ICECCS 2019: 61-70 - [c22]Bai Xue, Yang Liu, Lei Ma, Xiyue Zhang, Meng Sun, Xiaofei Xie:
Safe Inputs Approximation for Black-Box Systems. ICECCS 2019: 180-189 - [c21]Ruitao Feng, Guozhu Meng, Xiaofei Xie, Ting Su, Yang Liu, Shang-Wei Lin:
Learning Performance Optimization from Code Changes for Android Apps. ICST Workshops 2019: 285-290 - [c20]Xiaofei Xie, Lei Ma, Haijun Wang, Yuekang Li, Yang Liu, Xiaohong Li:
DiffChaser: Detecting Disagreements for Deep Neural Networks. IJCAI 2019: 5772-5778 - [c19]Hao Li, Xiaohong Li, Xiang Chen, Xiaofei Xie, Yanzhou Mu, Zhiyong Feng:
Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network. IJCNN 2019: 1-8 - [c18]Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See:
DeepHunter: a coverage-guided fuzz testing framework for deep neural networks. ISSTA 2019: 146-157 - [c17]Yan Zheng, Changjie Fan, Xiaofei Xie, Ting Su, Lei Ma, Jianye Hao, Zhaopeng Meng, Yang Liu, Ruimin Shen, Yingfeng Chen:
Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning. ASE 2019: 772-784 - [c16]Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study Towards Characterizing Deep Learning Development and Deployment Across Different Frameworks and Platforms. ASE 2019: 810-822 - [c15]Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao:
A Quantitative Analysis Framework for Recurrent Neural Network. ASE 2019: 1062-1065 - [c14]Qiang Hu, Lei Ma, Xiaofei Xie, Bing Yu, Yang Liu, Jianjun Zhao:
DeepMutation++: A Mutation Testing Framework for Deep Learning Systems. ASE 2019: 1158-1161 - [c13]Xiaofei Xie, Hongxu Chen, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao:
Coverage-Guided Fuzzing for Feedforward Neural Networks. ASE 2019: 1162-1165 - [c12]Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao:
DeepStellar: model-based quantitative analysis of stateful deep learning systems. ESEC/SIGSOFT FSE 2019: 477-487 - [c11]Yuekang Li, Yinxing Xue, Hongxu Chen, Xiuheng Wu, Cen Zhang, Xiaofei Xie, Haijun Wang, Yang Liu:
Cerebro: context-aware adaptive fuzzing for effective vulnerability detection. ESEC/SIGSOFT FSE 2019: 533-544 - [c10]Haijun Wang, Xiaofei Xie, Shang-Wei Lin, Yun Lin, Yuekang Li, Shengchao Qin, Yang Liu, Ting Liu:
Locating vulnerabilities in binaries via memory layout recovering. ESEC/SIGSOFT FSE 2019: 718-728 - [c9]Yilin Xu, Weimin Ge, Xiaohong Li, Zhiyong Feng, Xiaofei Xie, Yude Bai:
A Co-Occurrence Recommendation Model of Software Security Requirement. TASE 2019: 41-48 - 2018
- [c8]Hongxu Chen, Yinxing Xue, Yuekang Li, Bihuan Chen, Xiaofei Xie, Xiuheng Wu, Yang Liu:
Hawkeye: Towards a Desired Directed Grey-box Fuzzer. CCS 2018: 2095-2108 - 2017
- [c7]Hongbo Li, Xiaohong Li, Jianye Hao, Guangquan Xu, Zhiyong Feng, Xiaofei Xie:
FESR: A Framework for Eliciting Security Requirements Based on Integration of Common Criteria and Weakness Detection Formal Model. QRS 2017: 352-363 - [c6]Xiaofei Xie, Bihuan Chen, Liang Zou, Shang-Wei Lin, Yang Liu, Xiaohong Li:
Loopster: static loop termination analysis. ESEC/SIGSOFT FSE 2017: 84-94 - 2016
- [c5]Xiaofei Xie, Bihuan Chen, Yang Liu, Wei Le, Xiaohong Li:
Proteus: computing disjunctive loop summary via path dependency analysis. SIGSOFT FSE 2016: 61-72 - [c4]Xiaofei Xie:
Static loop analysis and its applications. SIGSOFT FSE 2016: 1130-1132 - 2015
- [c3]Xiaofei Xie, Yang Liu, Wei Le, Xiaohong Li, Hongxu Chen:
S-looper: automatic summarization for multipath string loops. ISSTA 2015: 188-198 - 2014
- [c2]Xiaofei Xie, Xiaohong Li, Yang Liu, Li Li, Ruitao Feng, Zhiyong Feng:
Automatic Verification for Later-Correspondence of Security Protocols. SOFL+MSVL 2014: 111-126 - 2006
- [c1]Xiaofei Xie, ChengGong Yu:
Temporal Correlation Based Speech Feature Processing and its Application to Speaker Recognition. SMC 2006: 1074-1078
Editorship
- 2022
- [e2]Maxime Cordy, Xiaofei Xie, Bowen Xu, Bibi Stamatia:
Proceedings of the 6th International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE 2022, Singapore, Singapore, 18 November 2022. ACM 2022, ISBN 978-1-4503-9456-7 [contents] - 2021
- [e1]Shuai Wang, Xiaofei Xie, Lei Ma:
AISTA 2021: Proceedings of the 1st ACM International Workshop on AI and Software Testing/Analysis, Virtual Event, Denmark, 12 July 2021. ACM 2021, ISBN 978-1-4503-8541-1 [contents]
Informal and Other Publications
- 2024
- [i79]Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, Lei Bu:
SpecGen: Automated Generation of Formal Program Specifications via Large Language Models. CoRR abs/2401.08807 (2024) - [i78]Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Jianjun Zhao:
Importance Guided Data Augmentation for Neural-Based Code Understanding. CoRR abs/2402.15769 (2024) - [i77]Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang:
Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing. CoRR abs/2402.18393 (2024) - [i76]Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo:
ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs. CoRR abs/2403.01971 (2024) - [i75]Peiheng Zhou, Ming Hu, Xiaofei Xie, Yihao Huang, Kangjie Chen, Mingsong Chen:
MIP: CLIP-based Image Reconstruction from PEFT Gradients. CoRR abs/2403.07901 (2024) - [i74]Qi Guo, Xiaohong Li, Xiaofei Xie, Shangqing Liu, Ze Tang, Ruitao Feng, Junjie Wang, Jidong Ge, Lei Bu:
FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion. CoRR abs/2404.01554 (2024) - [i73]Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu:
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. CoRR abs/2404.09599 (2024) - [i72]Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen:
KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting. CoRR abs/2404.12846 (2024) - [i71]Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen:
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. CoRR abs/2404.12850 (2024) - [i70]Qiang Hu, Jin Wen, Maxime Cordy, Yuheng Huang, Xiaofei Xie, Lei Ma:
Enhancing Fault Detection for Large Language Models via Mutation-Based Confidence Smoothing. CoRR abs/2404.14419 (2024) - [i69]Dong Huang, Xiaofei Xie, Heming Cui:
Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability. CoRR abs/2405.09314 (2024) - [i68]Bowen Zhang, Xiaofei Xie, Haotian Lu, Na Ma, Tianlin Li, Qing Guo:
MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling. CoRR abs/2405.18003 (2024) - 2023
- [i67]Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. CoRR abs/2301.09072 (2023) - [i66]Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. CoRR abs/2301.11490 (2023) - [i65]Jian Wang, Shangqing Liu, Xiaofei Xie, Yi Li:
Evaluating AIGC Detectors on Code Content. CoRR abs/2304.05193 (2023) - [i64]Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Evading DeepFake Detectors via Adversarial Statistical Consistency. CoRR abs/2304.11670 (2023) - [i63]Jie Zhang, Wei Ma, Qiang Hu, Xiaofei Xie, Yves Le Traon, Yang Liu:
RNNS: Representation Nearest Neighbor Search Black-Box Attack on Code Models. CoRR abs/2305.05896 (2023) - [i62]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. CoRR abs/2306.01250 (2023) - [i61]Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu:
Multi-target Backdoor Attacks for Code Pre-trained Models. CoRR abs/2306.08350 (2023) - [i60]Mingfei Cheng, Yuan Zhou, Xiaofei Xie:
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. CoRR abs/2307.07493 (2023) - [i59]Cen Zhang, Mingqiang Bai, Yaowen Zheng, Yeting Li, Xiaofei Xie, Yuekang Li, Wei Ma, Limin Sun, Yang Liu:
Understanding Large Language Model Based Fuzz Driver Generation. CoRR abs/2307.12469 (2023) - [i58]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon:
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks. CoRR abs/2308.01314 (2023) - [i57]Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, Yang Liu:
When GPT Meets Program Analysis: Towards Intelligent Detection of Smart Contract Logic Vulnerabilities in GPTScan. CoRR abs/2308.03314 (2023) - [i56]Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng:
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. CoRR abs/2309.08221 (2023) - [i55]Dong Huang, Qingwen Bu, Jie Zhang, Xiaofei Xie, Junjie Chen, Heming Cui:
Bias Assessment and Mitigation in LLM-based Code Generation. CoRR abs/2309.14345 (2023) - [i54]Wei Ma, Chenguang Zhu, Ye Liu, Xiaofei Xie, Yi Li:
A Comprehensive Study of Governance Issues in Decentralized Finance Applications. CoRR abs/2311.01433 (2023) - [i53]Dengke Yan, Ming Hu, Zeke Xia, Yanxin Yang, Jun Xia, Xiaofei Xie, Mingsong Chen:
Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning. CoRR abs/2311.13163 (2023) - [i52]Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen:
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. CoRR abs/2311.13166 (2023) - [i51]Yao Zhang, Xiaofei Xie, Yi Li, Sen Chen, Cen Zhang, Xiaohong Li:
EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software. CoRR abs/2312.03335 (2023) - [i50]Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Xiaofei Xie, Yang Liu, Chao Shen:
A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection. CoRR abs/2312.10766 (2023) - 2022
- [i49]Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu:
Unveiling Project-Specific Bias in Neural Code Models. CoRR abs/2201.07381 (2022) - [i48]Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu:
Learning Program Semantics with Code Representations: An Empirical Study. CoRR abs/2203.11790 (2022) - [i47]Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu:
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. CoRR abs/2203.12915 (2022) - [i46]Yuejun Guo, Qiang Hu, Maxime Cordy, Xiaofei Xie, Mike Papadakis, Yves Le Traon:
Labeling-Free Comparison Testing of Deep Learning Models. CoRR abs/2204.03994 (2022) - [i45]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon:
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment. CoRR abs/2204.04220 (2022) - [i44]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning. CoRR abs/2206.05480 (2022) - [i43]Bozhi Wu, Shangqing Liu, Ruitao Feng, Xiaofei Xie, Jing Kai Siow, Shang-Wei Lin:
Enhancing Security Patch Identification by Capturing Structures in Commits. CoRR abs/2207.09022 (2022) - [i42]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Efficient Testing of Deep Neural Networks via Decision Boundary Analysis. CoRR abs/2207.10942 (2022) - [i41]Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu:
Towards Understanding the Faults of JavaScript-Based Deep Learning Systems. CoRR abs/2209.04791 (2022) - [i40]Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma:
Decompiling x86 Deep Neural Network Executables. CoRR abs/2210.01075 (2022) - [i39]Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu:
TransRepair: Context-aware Program Repair for Compilation Errors. CoRR abs/2210.03986 (2022) - [i38]Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu:
Is Self-Attention Powerful to Learn Code Syntax and Semantics? CoRR abs/2212.10017 (2022) - 2021
- [i37]Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang:
Neuron Coverage-Guided Domain Generalization. CoRR abs/2103.00229 (2021) - [i36]Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu:
Automatic Web Testing using Curiosity-Driven Reinforcement Learning. CoRR abs/2103.06018 (2021) - [i35]Chengwei Zhang, Shan Jin, Wanli Xue, Xiaofei Xie, Shengyong Chen, Rong Chen:
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem. CoRR abs/2104.10917 (2021) - [i34]Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu:
AVA: Adversarial Vignetting Attack against Visual Recognition. CoRR abs/2105.05558 (2021) - [i33]Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li, Yang Liu:
Cross-Lingual Adaptation for Type Inference. CoRR abs/2107.00157 (2021) - [i32]Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao:
Learning to Adversarially Blur Visual Object Tracking. CoRR abs/2107.12085 (2021) - [i31]Shangqing Liu, Xiaofei Xie, Lei Ma, Jing Kai Siow, Yang Liu:
GraphSearchNet: Enhancing GNNs via Capturing Global Dependency for Semantic Code Search. CoRR abs/2111.02671 (2021) - [i30]Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon:
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. CoRR abs/2112.01218 (2021) - 2020
- [i29]Yihao Huang, Felix Juefei-Xu, Run Wang, Xiaofei Xie, Lei Ma, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu:
FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles. CoRR abs/2001.09598 (2020) - [i28]Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Wei Feng, Yang Liu:
ABBA: Saliency-Regularized Motion-Based Adversarial Blur Attack. CoRR abs/2002.03500 (2020) - [i27]Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun:
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty. CoRR abs/2004.11573 (2020) - [i26]Ruitao Feng, Sen Chen, Xiaofei Xie, Guozhu Meng, Shang-Wei Lin, Yang Liu:
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices. CoRR abs/2005.04970 (2020) - [i25]Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu:
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. CoRR abs/2005.07099 (2020) - [i24]Run Wang, Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu:
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices. CoRR abs/2005.13770 (2020) - [i23]Kangjie Chen, Tianwei Zhang, Xiaofei Xie, Yang Liu:
Stealing Deep Reinforcement Learning Models for Fun and Profit. CoRR abs/2006.05032 (2020) - [i22]Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu:
Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN. CoRR abs/2006.05405 (2020) - [i21]Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwen Li, Weikai Miao, Yang Liu, Geguang Pu:
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction. CoRR abs/2006.07533 (2020) - [i20]Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao:
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms. CoRR abs/2006.07634 (2020) - [i19]Renzhi Wang, Tianwei Zhang, Xiaofei Xie, Lei Ma, Cong Tian, Felix Juefei-Xu, Yang Liu:
Generating Adversarial Examples withControllable Non-transferability. CoRR abs/2007.01299 (2020) - [i18]Yupeng Cheng, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Shang-Wei Lin, Weisi Lin, Wei Feng, Yang Liu:
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack. CoRR abs/2007.07097 (2020) - [i17]Ming Fan, Wenying Wei, Xiaofei Xie, Yang Liu, Xiaohong Guan, Ting Liu:
Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis. CoRR abs/2008.05895 (2020) - [i16]Haoliang Li, Yufei Wang, Xiaofei Xie, Yang Liu, Shiqi Wang, Renjie Wan, Lap-Pui Chau, Alex C. Kot:
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems. CoRR abs/2009.06996 (2020) - [i15]Liming Zhai, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Wei Feng, Shengchao Qin, Yang Liu:
It's Raining Cats or Dogs? Adversarial Rain Attack on DNN Perception. CoRR abs/2009.09205 (2020) - [i14]Yihao Huang, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Weikai Miao, Yang Liu, Geguang Pu:
FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise. CoRR abs/2009.09213 (2020) - [i13]Yupeng Cheng, Felix Juefei-Xu, Qing Guo, Huazhu Fu, Xiaofei Xie, Shang-Wei Lin, Weisi Lin, Yang Liu:
Adversarial Exposure Attack on Diabetic Retinopathy Imagery. CoRR abs/2009.09231 (2020) - [i12]Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu:
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. CoRR abs/2009.09238 (2020) - [i11]Binyu Tian, Qing Guo, Felix Juefei-Xu, Wen Le Chan, Yupeng Cheng, Xiaohong Li, Xiaofei Xie, Shengchao Qin:
Bias Field Poses a Threat to DNN-based X-Ray Recognition. CoRR abs/2009.09247 (2020) - [i10]Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao:
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment. CoRR abs/2011.09884 (2020) - 2019
- [i9]Run Wang, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Jian Wang, Yang Liu:
FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces. CoRR abs/1909.06122 (2019) - [i8]Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms. CoRR abs/1909.06727 (2019) - [i7]Qing Guo, Xiaofei Xie, Lei Ma, Zhongguo Li, Wei Feng, Yang Liu:
Spatial-aware Online Adversarial Perturbations Against Visual Object Tracking. CoRR abs/1910.08681 (2019) - [i6]Run Wang, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Yihao Huang, Yang Liu:
Amora: Black-box Adversarial Morphing Attack. CoRR abs/1912.03829 (2019) - 2018
- [i5]Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Coverage-Guided Fuzzing for Deep Neural Networks. CoRR abs/1809.01266 (2018) - [i4]Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew-Soon Ong:
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer. CoRR abs/1809.02444 (2018) - [i3]Qianyu Guo, Xiaofei Xie, Lei Ma, Qiang Hu, Ruitao Feng, Li Li, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms. CoRR abs/1811.05187 (2018) - [i2]Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Jianjun Zhao, Yang Liu:
DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems. CoRR abs/1812.05339 (2018) - 2016
- [i1]Omar I. Al-Bataineh, Xiaofei Xie, Alwen Tiu, Mark Reynolds:
Termination of Monotone Programs. CoRR abs/1610.09607 (2016)
Coauthor Index
[j25] [j19] [j17] [j16] [j13] [j10] [j9] [j5] [j4] [j3] [j1] [c85] [c83] [c72] [c67] [c65] [c64] [c63] [c62] [c59] [c58] [c57] [c56] [c54] [c53] [c52] [c50] [c49] [c48] [c47] [c45] [c42] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [c21] [c20] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c8] [c6] [c5] [c3] [c2] [i73] [i67] [i63] [i61] [i59] [i57] [i52] [i49] [i48] [i47] [i41] [i39] [i38] [i37] [i36] [i34] [i33] [i32] [i31] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2]
[j25] [j21] [j20] [j16] [j14] [j13] [j10] [j9] [j8] [j7] [c80] [c77] [c76] [c75] [c74] [c73] [c70] [c66] [c62] [c58] [c57] [c53] [c50] [c49] [c44] [c42] [c40] [c39] [c36] [c35] [c34] [c33] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [c20] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [e1] [i70] [i66] [i64] [i62] [i47] [i44] [i42] [i40] [i36] [i32] [i31] [i29] [i28] [i27] [i25] [i24] [i21] [i20] [i19] [i15] [i14] [i12] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2]
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