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GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks


Feb 06, 2023
Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon

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Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks


Nov 01, 2022
Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama

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* NeurIPS 2022 

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FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods


Aug 26, 2022
Lichen Jia, Bowen Tang, Chenggang Wu, Zhe Wang, Zihan Jiang, Yuanming Lai, Yan Kang, Ning Liu, Jingfeng Zhang

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* 9 pages, 4 figures 

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Accelerating Score-based Generative Models for High-Resolution Image Synthesis


Jun 10, 2022
Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng

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Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition


Apr 22, 2022
Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Feihu Yan, Yuan He, Hui Xue

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* Accepted to ICME 2022 

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WaveFuzz: A Clean-Label Poisoning Attack to Protect Your Voice


Mar 25, 2022
Yunjie Ge, Qian Wang, Jingfeng Zhang, Juntao Zhou, Yunzhu Zhang, Chao Shen

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On the Effectiveness of Adversarial Training against Backdoor Attacks


Feb 22, 2022
Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama

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Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests


Feb 07, 2022
Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli

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Towards Adversarially Robust Deep Image Denoising


Jan 13, 2022
Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan

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