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LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features Journal article
Yu, Yunrui, Gao, Xitong, Xu, Cheng Zhong. LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(1), 354-369.
Authors:  Yu, Yunrui;  Gao, Xitong;  Xu, Cheng Zhong
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:20.8/22.2 | Submit date：2024/02/22
Adversarial Robustness  Latent Feature Attack  White-box Attacks  
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks Conference paper
Yu, Yunrui, Xu, Cheng Zhong. Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks[C], 2023, 4056-4066.
Authors:  Yu, Yunrui;  Xu, Cheng Zhong
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2024/02/22
Adversarial Attack And Defense  
LAFEAT: piercing through adversarial defenses with latent features Conference paper
Yunrui Yu, Xitong Gao, Cheng-Zhong Xu. LAFEAT: piercing through adversarial defenses with latent features[C]:IEEE, 2021, 5731-5741.
Authors:  Yunrui Yu;  Xitong Gao;  Cheng-Zhong Xu
Favorite | TC[WOS]:29 TC[Scopus]:36 | Submit date：2022/08/22