default search action
Baoyuan Wu
吴保元
Person information
- unicode name: 吴保元
- affiliation: Chinese University of Hong Kong, School of Data Science, Shenzhen,China
- affiliation (PhD 2014): Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j32]Baoyuan Wu, Jiali Zhou:
Video-Based Martial Arts Combat Action Recognition and Position Detection Using Deep Learning. IEEE Access 12: 161357-161374 (2024) - [j31]Chuanbiao Song, Yanbo Fan, Aoyang Zhou, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He:
Regional Adversarial Training for Better Robust Generalization. Int. J. Comput. Vis. 132(10): 4510-4520 (2024) - [j30]Fei Yin, Yong Zhang, Baoyuan Wu, Yan Feng, Jingyi Zhang, Yanbo Fan, Yujiu Yang:
Generalizable Black-Box Adversarial Attack With Meta Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1804-1818 (2024) - [j29]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6367-6383 (2024) - [j28]Weiwei Feng, Nanqing Xu, Tianzhu Zhang, Baoyuan Wu, Yongdong Zhang:
Robust and Generalized Physical Adversarial Attacks via Meta-GAN. IEEE Trans. Inf. Forensics Secur. 19: 1112-1125 (2024) - [j27]Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia:
Imperceptible and Robust Backdoor Attack in 3D Point Cloud. IEEE Trans. Inf. Forensics Secur. 19: 1267-1282 (2024) - [j26]Chunsheng Zhang, Xu Liang, Dandan Fan, Junan Chen, Bob Zhang, Baoyuan Wu, David Zhang:
HGAIQA: A Novel Hand-Geometry-Aware Image Quality Assessment Framework for Contactless Palmprint Recognition. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j25]Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao:
Visual Prompt Based Personalized Federated Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c69]Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu:
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. AAAI 2024: 20185-20193 - [c68]Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu:
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics. CVPR Workshops 2024: 4324-4333 - [c67]Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu:
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection. CVPR 2024: 8984-8994 - [c66]Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen:
Decentralized Directed Collaboration for Personalized Federated Learning. CVPR 2024: 23168-23178 - [c65]Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang:
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. CVPR 2024: 24645-24654 - [c64]Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu:
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. ICLR 2024 - [c63]Zhenzhe Gao, Zhenjun Tang, Zhaoxia Yin, Baoyuan Wu, Yue Lu:
Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing. ICME 2024: 1-6 - [i91]Mingli Zhu, Zihao Zhu, Sihong Chen, Chen Chen, Baoyuan Wu:
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models. CoRR abs/2401.07208 (2024) - [i90]Zhengyao Song, Yongqiang Li, Danni Yuan, Li Liu, Shaokui Wei, Baoyuan Wu:
WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition. CoRR abs/2401.13578 (2024) - [i89]Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu:
Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR abs/2403.00376 (2024) - [i88]Chuangchuang Tan, Ping Liu, Renshuai Tao, Huan Liu, Yao Zhao, Baoyuan Wu, Yunchao Wei:
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection. CoRR abs/2403.06803 (2024) - [i87]Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu:
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics. CoRR abs/2403.14077 (2024) - [i86]Zhenzhe Gao, Zhenjun Tang, Zhaoxia Yin, Baoyuan Wu, Yue Lu:
Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing. CoRR abs/2404.07572 (2024) - [i85]Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. CoRR abs/2405.16112 (2024) - [i84]Mingli Zhu, Siyuan Liang, Baoyuan Wu:
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack. CoRR abs/2405.16134 (2024) - [i83]Yingqi Liu, Yifan Shi, Qinglun Li, Baoyuan Wu, Xueqian Wang, Li Shen:
Decentralized Directed Collaboration for Personalized Federated Learning. CoRR abs/2405.17876 (2024) - [i82]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen:
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. CoRR abs/2407.19845 (2024) - [i81]Zihao Zhu, Bingzhe Wu, Zhengyou Zhang, Baoyuan Wu:
RiskAwareBench: Towards Evaluating Physical Risk Awareness for High-level Planning of LLM-based Embodied Agents. CoRR abs/2408.04449 (2024) - [i80]Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei:
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. CoRR abs/2408.09647 (2024) - [i79]Yize Chen, Zhiyuan Yan, Siwei Lyu, Baoyuan Wu:
X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection. CoRR abs/2410.06126 (2024) - [i78]Zongqi Wang, Baoyuan Wu, Jingyuan Deng, Yujiu Yang:
ESpeW: Robust Copyright Protection for LLM-based EaaS via Embedding-Specific Watermark. CoRR abs/2410.17552 (2024) - 2023
- [j24]Chengcheng Ma, Baoyuan Wu, Yanbo Fan, Yong Zhang, Zhifeng Li:
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients. Mach. Intell. Res. 20(5): 666-682 (2023) - [j23]Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shu-Tao Xia:
Versatile Weight Attack via Flipping Limited Bits. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13653-13665 (2023) - [j22]Xin Zheng, Yanbo Fan, Baoyuan Wu, Yong Zhang, Jue Wang, Shirui Pan:
Robust Physical-World Attacks on Face Recognition. Pattern Recognit. 133: 109009 (2023) - [j21]Ziyi Cheng, Baoyuan Wu, Zhenya Zhang, Jianjun Zhao:
TAT: Targeted backdoor attacks against visual object tracking. Pattern Recognit. 142: 109629 (2023) - [c62]Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan:
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CVPR 2023: 14561-14571 - [c61]Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. ICCV 2023: 4443-4454 - [c60]Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu:
Global Balanced Experts for Federated Long-Tailed Learning. ICCV 2023: 4792-4802 - [c59]Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang:
ToonTalker: Cross-Domain Face Reenactment. ICCV 2023: 7656-7666 - [c58]Zhiyuan Yan, Yong Zhang, Yanbo Fan, Baoyuan Wu:
UCF: Uncovering Common Features for Generalizable Deepfake Detection. ICCV 2023: 22355-22366 - [c57]Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. ICML 2023: 13610-13627 - [c56]Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu:
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. NeurIPS 2023 - [c55]Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu:
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. NeurIPS 2023 - [c54]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS 2023 - [c53]Wangbo Yu, Yanbo Fan, Yong Zhang, Xuan Wang, Fei Yin, Yunpeng Bai, Yan-Pei Cao, Ying Shan, Yang Wu, Zhongqian Sun, Baoyuan Wu:
NOFA: NeRF-based One-shot Facial Avatar Reconstruction. SIGGRAPH (Conference Paper Track) 2023: 85:1-85:12 - [i77]Fei Yin, Yong Zhang, Baoyuan Wu, Yan Feng, Jingyi Zhang, Yanbo Fan, Yujiu Yang:
Generalizable Black-Box Adversarial Attack with Meta Learning. CoRR abs/2301.00364 (2023) - [i76]Baoyuan Wu, Li Liu, Zihao Zhu, Qingshan Liu, Zhaofeng He, Siwei Lyu:
Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example. CoRR abs/2302.09457 (2023) - [i75]Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao:
Visual Prompt Based Personalized Federated Learning. CoRR abs/2303.08678 (2023) - [i74]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training with Prior-Guided Knowledge. CoRR abs/2304.00202 (2023) - [i73]Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan:
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CoRR abs/2304.00571 (2023) - [i72]Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization. CoRR abs/2304.11823 (2023) - [i71]Zhiyuan Yan, Yong Zhang, Yanbo Fan, Baoyuan Wu:
UCF: Uncovering Common Features for Generalizable Deepfake Detection. CoRR abs/2304.13949 (2023) - [i70]Junpei Liao, Zhikai Chen, Liang Yi, Wenyuan Yang, Baoyuan Wu, Xiaochun Cao:
Inter-frame Accelerate Attack against Video Interpolation Models. CoRR abs/2305.06540 (2023) - [i69]Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. CoRR abs/2305.18413 (2023) - [i68]Ruotong Wang, Hongrui Chen, Zihao Zhu, Li Liu, Yong Zhang, Yanbo Fan, Baoyuan Wu:
Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers. CoRR abs/2306.00816 (2023) - [i67]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR abs/2306.16697 (2023) - [i66]Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu:
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. CoRR abs/2307.01426 (2023) - [i65]Wangbo Yu, Yanbo Fan, Yong Zhang, Xuan Wang, Fei Yin, Yunpeng Bai, Yan-Pei Cao, Ying Shan, Yang Wu, Zhongqian Sun, Baoyuan Wu:
NOFA: NeRF-based One-shot Facial Avatar Reconstruction. CoRR abs/2307.03441 (2023) - [i64]Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. CoRR abs/2307.07328 (2023) - [i63]Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu:
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. CoRR abs/2307.10562 (2023) - [i62]Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang:
ToonTalker: Cross-Domain Face Reenactment. CoRR abs/2308.12866 (2023) - [i61]Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu:
VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. CoRR abs/2309.16211 (2023) - [i60]Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu:
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection. CoRR abs/2311.11278 (2023) - [i59]Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Task-Distributionally Robust Data-Free Meta-Learning. CoRR abs/2311.14756 (2023) - [i58]Danni Yuan, Shaokui Wei, Mingda Zhang, Li Liu, Baoyuan Wu:
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks. CoRR abs/2312.06230 (2023) - [i57]Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu:
Defenses in Adversarial Machine Learning: A Survey. CoRR abs/2312.08890 (2023) - [i56]Meixi Zheng, Xuanchen Yan, Zihao Zhu, Hongrui Chen, Baoyuan Wu:
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks. CoRR abs/2312.16979 (2023) - 2022
- [j20]Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Semi-supervised robust training with generalized perturbed neighborhood. Pattern Recognit. 124: 108472 (2022) - [j19]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao:
Boosting Fast Adversarial Training With Learnable Adversarial Initialization. IEEE Trans. Image Process. 31: 4417-4430 (2022) - [j18]Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu:
Towards Corruption-Agnostic Robust Domain Adaptation. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 99:1-99:16 (2022) - [c52]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
LAS-AT: Adversarial Training with Learnable Attack Strategy. CVPR 2022: 13388-13398 - [c51]Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shu-Tao Xia:
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution. CVPR 2022: 15074-15083 - [c50]Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang:
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN. ECCV (17) 2022: 85-101 - [c49]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Prior-Guided Adversarial Initialization for Fast Adversarial Training. ECCV (4) 2022: 567-584 - [c48]Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao:
A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection. ECCV (4) 2022: 619-636 - [c47]Jiahao Wang, Mingdeng Cao, Shuwei Shi, Baoyuan Wu, Yujiu Yang:
Attention Probe: Vision Transformer Distillation in the Wild. ICASSP 2022: 2220-2224 - [c46]Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren:
Backdoor Defense via Decoupling the Training Process. ICLR 2022 - [c45]Weixin Chen, Baoyuan Wu, Haoqian Wang:
Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples. NeurIPS 2022 - [c44]Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu:
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation. NeurIPS 2022 - [c43]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen:
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. NeurIPS 2022 - [i55]Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao:
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. CoRR abs/2201.08970 (2022) - [i54]Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren:
Backdoor Defense via Decoupling the Training Process. CoRR abs/2202.03423 (2022) - [i53]Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang:
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN. CoRR abs/2203.04036 (2022) - [i52]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
LAS-AT: Adversarial Training with Learnable Attack Strategy. CoRR abs/2203.06616 (2022) - [i51]Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao:
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR abs/2205.10014 (2022) - [i50]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha:
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR abs/2206.12654 (2022) - [i49]Longkang Li, Baoyuan Wu:
Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing. CoRR abs/2207.02087 (2022) - [i48]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Prior-Guided Adversarial Initialization for Fast Adversarial Training. CoRR abs/2207.08859 (2022) - [i47]Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shutao Xia:
Versatile Weight Attack via Flipping Limited Bits. CoRR abs/2207.12405 (2022) - [i46]Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia:
Imperceptible and Robust Backdoor Attack in 3D Point Cloud. CoRR abs/2208.08052 (2022) - [i45]Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao:
A Large-scale Multiple-objective Method for Black-box Attack against Object Detection. CoRR abs/2209.07790 (2022) - [i44]Jiancong Xiao, Zeyu Qin, Yanbo Fan, Baoyuan Wu, Jue Wang, Zhi-Quan Luo:
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis. CoRR abs/2210.00557 (2022) - [i43]Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu:
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation. CoRR abs/2210.05968 (2022) - [i42]Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu:
Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. CoRR abs/2210.17178 (2022) - [i41]Xingxing Wei, Bangzheng Pu, Jiefan Lu, Baoyuan Wu:
Physically Adversarial Attacks and Defenses in Computer Vision: A Survey. CoRR abs/2211.01671 (2022) - 2021
- [j17]Mengke Yuan, Bernard Ghanem, Dong-Ming Yan, Baoyuan Wu, Xiaopeng Zhang, Peter Wonka:
Customized Summarizations of Visual Data Collections. Comput. Graph. Forum 40(6): 347-370 (2021) - [c42]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu:
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. CVPR 2021: 2256-2265 - [c41]Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang:
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. CVPR 2021: 12527-12536 - [c40]Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu:
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing. CVPR 2021: 16357-16366 - [c39]Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia:
Backdoor Attack Against Speaker Verification. ICASSP 2021: 2560-2564 - [c38]Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao:
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. ICCV 2021: 7677-7687 - [c37]Weiwei Feng, Baoyuan Wu, Tianzhu Zhang, Yong Zhang, Yongdong Zhang:
Meta-Attack: Class-agnostic and Model-agnostic Physical Adversarial Attack. ICCV 2021: 7767-7776 - [c36]Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu:
Invisible Backdoor Attack with Sample-Specific Triggers. ICCV 2021: 16443-16452 - [c35]Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia:
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. ICLR 2021 - [c34]Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. ICLR 2021 - [c33]Chengcheng Ma, Weiliang Meng, Baoyuan Wu, Shibiao Xu, Xiaopeng Zhang:
Towards Effective Adversarial Attack Against 3D Point Cloud Classification. ICME 2021: 1-6 - [c32]Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu:
Random Noise Defense Against Query-Based Black-Box Attacks. NeurIPS 2021: 7650-7663 - [i40]Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. CoRR abs/2102.10055 (2021) - [i39]Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia:
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. CoRR abs/2102.10496 (2021) - [i38]Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang:
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. CoRR abs/2103.05271 (2021) - [i37]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu:
Towards Open-World Text-Guided Face Image Generation and Manipulation. CoRR abs/2104.08910 (2021) - [i36]