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2020 – today
- 2023
[c71]Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong:
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. NDSS 2023- [i70]Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong:
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service. CoRR abs/2301.02905 (2023) - [i69]Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CoRR abs/2303.01959 (2023) - 2022
- [j13]Jia Lu
, Ryan Tsoi, Nan Luo, Yuanchi Ha, Shangying Wang, Minjun Kwak, Yasa Baig, Nicole Moiseyev, Shari Tian, Alison Zhang, Neil Zhenqiang Gong, Lingchong You:
Distributed information encoding and decoding using self-organized spatial patterns. Patterns 3(10): 100590 (2022) - [j12]Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong:
FLCert: Provably Secure Federated Learning Against Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 17: 3691-3705 (2022) - [c70]Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks. AAAI 2022: 9575-9583 - [c69]Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley:
AFLGuard: Byzantine-robust Asynchronous Federated Learning. ACSAC 2022: 632-646 - [c68]Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong:
GraphTrack: A Graph-based Cross-Device Tracking Framework. AsiaCCS 2022: 82-96 - [c67]Da Zhong, Haipei Sun, Jun Xu, Neil Zhenqiang Gong, Wendy Hui Wang:
Understanding Disparate Effects of Membership Inference Attacks and their Countermeasures. AsiaCCS 2022: 959-974 - [c66]Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning. CCS 2022: 2115-2128 - [c65]Xiaoyu Cao, Neil Zhenqiang Gong:
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients. CVPR Workshops 2022: 3395-3403 - [c64]Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen:
HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. DAC 2022: 25-30 - [c63]Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Addressing Heterogeneity in Federated Learning via Distributional Transformation. ECCV (38) 2022: 179-195 - [c62]Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang:
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. ECCV (31) 2022: 365-381 - [c61]Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong:
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. ICLR 2022 - [c60]Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. KDD 2022: 2545-2555 - [c59]Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong:
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. IEEE Symposium on Security and Privacy 2022: 2043-2059 - [c58]Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. USENIX Security Symposium 2022: 519-536 - [c57]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. USENIX Security Symposium 2022: 3629-3645 - [i68]Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
StolenEncoder: Stealing Pre-trained Encoders. CoRR abs/2201.05889 (2022) - [i67]Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong:
GraphTrack: A Graph-based Cross-Device Tracking Framework. CoRR abs/2203.06833 (2022) - [i66]Xiaoyu Cao, Neil Zhenqiang Gong:
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients. CoRR abs/2203.08669 (2022) - [i65]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. CoRR abs/2205.06401 (2022) - [i64]Xiaoguang Li, Neil Zhenqiang Gong, Ninghui Li, Wenhai Sun, Hui Li:
Fine-grained Poisoning Attacks to Local Differential Privacy Protocols for Mean and Variance Estimation. CoRR abs/2205.11782 (2022) - [i63]Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. CoRR abs/2207.09209 (2022) - [i62]Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang:
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. CoRR abs/2207.12535 (2022) - [i61]Xiaoyu Cao, Zaixi Zhang, Jinyuan Jia, Neil Zhenqiang Gong:
FLCert: Provably Secure Federated Learning against Poisoning Attacks. CoRR abs/2210.00584 (2022) - [i60]Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. CoRR abs/2210.01111 (2022) - [i59]Xiaoyu Cao, Jinyuan Jia, Zaixi Zhang, Neil Zhenqiang Gong:
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. CoRR abs/2210.10936 (2022) - [i58]Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Addressing Heterogeneity in Federated Learning via Distributional Transformation. CoRR abs/2210.15025 (2022) - [i57]Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning. CoRR abs/2211.08229 (2022) - [i56]Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong:
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. CoRR abs/2212.03334 (2022) - [i55]Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley:
AFLGuard: Byzantine-robust Asynchronous Federated Learning. CoRR abs/2212.06325 (2022) - 2021
- [j11]Chris Chao-Chun Cheng, Chen Shi, Neil Zhenqiang Gong, Yong Guan:
LogExtractor: Extracting digital evidence from android log messages via string and taint analysis. Digit. Investig. 37 Supplement: 301193 (2021) - [c56]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Provably Secure Federated Learning against Malicious Clients. AAAI 2021: 6885-6893 - [c55]Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks. AAAI 2021: 7961-7969 - [c54]Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. AAAI 2021: 10093-10101 - [c53]Zijie Yang, Binghui Wang, Haoran Li, Dong Yuan, Zhuotao Liu, Neil Zhenqiang Gong, Chang Liu, Qi Li, Xiao Liang, Shaofeng Hu:
On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks. ACSAC 2021: 297-310 - [c52]Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong:
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. AsiaCCS 2021: 2-13 - [c51]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary. AsiaCCS 2021: 14-25 - [c50]Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. CCS 2021: 2081-2095 - [c49]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PointGuard: Provably Robust 3D Point Cloud Classification. CVPR 2021: 6186-6195 - [c48]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
On the Intrinsic Differential Privacy of Bagging. IJCAI 2021: 2730-2736 - [c47]Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. KDD 2021: 1645-1653 - [c46]Xiao Liang, Zheng Yang, Binghui Wang, Shaofeng Hu, Zijie Yang, Dong Yuan, Neil Zhenqiang Gong, Qi Li, Fang He:
Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach. KDD 2021: 3240-3250 - [c45]Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong:
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. NDSS 2021 - [c44]Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu:
Data Poisoning Attacks to Deep Learning Based Recommender Systems. NDSS 2021 - [c43]Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. NDSS 2021 - [c42]Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong:
Backdoor Attacks to Graph Neural Networks. SACMAT 2021: 15-26 - [c41]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Data Poisoning Attacks to Local Differential Privacy Protocols. USENIX Security Symposium 2021: 947-964 - [c40]Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Stealing Links from Graph Neural Networks. USENIX Security Symposium 2021: 2669-2686 - [c39]Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu:
Data Poisoning Attacks and Defenses to Crowdsourcing Systems. WWW 2021: 969-980 - [c38]Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. WWW 2021: 1262-1273 - [i54]Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. CoRR abs/2101.01341 (2021) - [i53]Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu:
Data Poisoning Attacks to Deep Learning Based Recommender Systems. CoRR abs/2101.02644 (2021) - [i52]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Provably Secure Federated Learning against Malicious Clients. CoRR abs/2102.01854 (2021) - [i51]Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu:
Data Poisoning Attacks and Defenses to Crowdsourcing Systems. CoRR abs/2102.09171 (2021) - [i50]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PointGuard: Provably Robust 3D Point Cloud Classification. CoRR abs/2103.03046 (2021) - [i49]Yongji Wu, Lu Yin, Defu Lian, Mingyang Yin, Neil Zhenqiang Gong, Jingren Zhou, Hongxia Yang:
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention. CoRR abs/2105.14060 (2021) - [i48]Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. CoRR abs/2105.14068 (2021) - [i47]Xiaoyu Cao, Neil Zhenqiang Gong:
Understanding the Security of Deepfake Detection. CoRR abs/2107.02045 (2021) - [i46]Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong:
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. CoRR abs/2108.00352 (2021) - [i45]Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. CoRR abs/2108.11023 (2021) - [i44]Yuankun Yang, Chenyue Liang, Hongyu He, Xiaoyu Cao, Neil Zhenqiang Gong:
FaceGuard: Proactive Deepfake Detection. CoRR abs/2109.05673 (2021) - [i43]Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
10 Security and Privacy Problems in Self-Supervised Learning. CoRR abs/2110.15444 (2021) - [i42]Yongji Wu, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. CoRR abs/2111.11534 (2021) - [i41]Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen:
HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance. CoRR abs/2111.11986 (2021) - 2020
- [c37]Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong:
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. ICLR 2020 - [c36]Luke Myers, Binghui Wang, Neil Zhenqiang Gong, Daji Qiao:
State Estimation via Inference on a Probabilistic Graphical Model - A Different Perspective. ISGT 2020: 1-5 - [c35]Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. USENIX Security Symposium 2020: 1605-1622 - [c34]Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. WWW 2020: 2718-2724 - [c33]Minghong Fang, Neil Zhenqiang Gong, Jia Liu:
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. WWW 2020: 3019-3025 - [p1]Jinyuan Jia, Neil Zhenqiang Gong:
Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges. Adaptive Autonomous Secure Cyber Systems 2020: 23-40 - [i40]Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. CoRR abs/2002.03421 (2020) - [i39]Minghong Fang, Neil Zhenqiang Gong, Jia Liu:
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. CoRR abs/2002.08025 (2020) - [i38]Binghui Wang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
On Certifying Robustness against Backdoor Attacks via Randomized Smoothing. CoRR abs/2002.11750 (2020) - [i37]Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang:
Stealing Links from Graph Neural Networks. CoRR abs/2005.02131 (2020) - [i36]Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong:
Backdoor Attacks to Graph Neural Networks. CoRR abs/2006.11165 (2020) - [i35]Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks. CoRR abs/2008.04495 (2020) - [i34]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
On the Intrinsic Differential Privacy of Bagging. CoRR abs/2008.09845 (2020) - [i33]Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation. CoRR abs/2008.10715 (2020) - [i32]Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong:
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes. CoRR abs/2010.13751 (2020) - [i31]Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong:
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. CoRR abs/2011.07633 (2020) - [i30]Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Nearest Neighbors against Data Poisoning Attacks. CoRR abs/2012.03765 (2020) - [i29]Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. CoRR abs/2012.13085 (2020) - [i28]Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong:
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping. CoRR abs/2012.13995 (2020)
2010 – 2019
- 2019
- [j10]Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong:
Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation. IEEE Trans. Netw. Sci. Eng. 6(3): 523-537 (2019) - [c32]Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong:
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CCS 2019: 259-274 - [c31]Dong Yuan, Yuanli Miao, Neil Zhenqiang Gong, Zheng Yang, Qi Li, Dawn Song, Qian Wang, Xiao Liang:
Detecting Fake Accounts in Online Social Networks at the Time of Registrations. CCS 2019: 1423-1438 - [c30]Binghui Wang, Neil Zhenqiang Gong:
Attacking Graph-based Classification via Manipulating the Graph Structure. CCS 2019: 2023-2040 - [c29]Jinyuan Jia, Neil Zhenqiang Gong:
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge. INFOCOM 2019: 2008-2016 - [c28]Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Li, Yong Cui, Dawn Song:
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study. KDD 2019: 2012-2022 - [c27]Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. NDSS 2019 - [i27]Binghui Wang, Neil Zhenqiang Gong:
Attacking Graph-based Classification via Manipulating the Graph Structure. CoRR abs/1903.00553 (2019) - [i26]Jinyuan Jia, Neil Zhenqiang Gong:
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges. CoRR abs/1909.08526 (2019) - [i25]Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong:
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples. CoRR abs/1909.10594 (2019) - [i24]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary. CoRR abs/1910.12903 (2019) - [i23]Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Data Poisoning Attacks to Local Differential Privacy Protocols. CoRR abs/1911.02046 (2019) - [i22]Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning. CoRR abs/1911.11815 (2019) - [i21]Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong:
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing. CoRR abs/1912.09899 (2019) - 2018
- [j9]Neil Zhenqiang Gong, Bin Liu:
Attribute Inference Attacks in Online Social Networks. ACM Trans. Priv. Secur. 21(1): 3:1-3:30 (2018) - [c26]Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu:
Poisoning Attacks to Graph-Based Recommender Systems. ACSAC 2018: 381-392 - [c25]Chris Chao-Chun Cheng, Chen Shi, Neil Zhenqiang Gong, Yong Guan:
EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis. CCS 2018: 1338-1350 - [c24]Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal:
SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CNS 2018: 1-9 - [c23]Binghui Wang, Le Zhang, Neil Zhenqiang Gong:
SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels. RAID 2018: 228-249 - [c22]Binghui Wang, Neil Zhenqiang Gong:
Stealing Hyperparameters in Machine Learning. IEEE Symposium on Security and Privacy 2018: 36-52 - [c21]Zhen Xu, Chen Shi, Chris Chao-Chun Cheng, Neil Zhenqiang Gong, Yong Guan:
A Dynamic Taint Analysis Tool for Android App Forensics. IEEE Symposium on Security and Privacy Workshops 2018: 160-169 - [c20]Jinyuan Jia, Neil Zhenqiang Gong:
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. USENIX Security Symposium 2018: 513-529 - [i20]Binghui Wang, Neil Zhenqiang Gong:
Stealing Hyperparameters in Machine Learning. CoRR abs/1802.05351 (2018) - [i19]Binghui Wang, Jinyuan Jia, Le Zhang, Neil Zhenqiang Gong:
Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation. CoRR abs/1803.04321 (2018) - [i18]Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal:
SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CoRR abs/1803.06772 (2018) - [i17]Jinyuan Jia, Neil Zhenqiang Gong:
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. CoRR abs/1805.04810 (2018) - [i16]Binghui Wang, Le Zhang, Neil Zhenqiang Gong:
SybilBlind: Detecting Fake Users in Online Social Networks without Manual Labels. CoRR abs/1806.04853 (2018) - [i15]Chris Chao-Chun Cheng, Chen Shi, Neil Zhenqiang Gong, Yong Guan:
EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis. CoRR abs/1808.06137 (2018) - [i14]Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu:
Poisoning Attacks to Graph-Based Recommender Systems. CoRR abs/1809.04127 (2018) - [i13]Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. CoRR abs/1812.01661 (2018) - [i12]Jinyuan Jia, Neil Zhenqiang Gong:
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge. CoRR abs/1812.02055 (2018) - 2017
- [j8]Hao Fu, Xing Xie, Yong Rui, Neil Zhenqiang Gong, Guangzhong Sun, Enhong Chen:
Robust Spammer Detection in Microblogs: Leveraging User Carefulness. ACM Trans. Intell. Syst. Technol. 8(6): 83:1-83:31 (2017) - [c19]Xiaoyu Cao, Neil Zhenqiang Gong:
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification. ACSAC 2017: 278-287 - [c18]