Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
Authors: Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal | Published: 2021-10-15
Adversarial Example
Adversarial Attacks on ML Defense Models Competition
Authors: Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, XiaoFeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen | Published: 2021-10-15
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Authors: Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma | Published: 2021-10-07 | Updated: 2022-01-23
Attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executability
Authors: Hadjer Benkraouda, Jingyu Qian, Hung Quoc Tran, Berkay Kaplan | Published: 2021-09-21
Excess Capacity and Backdoor Poisoning
Authors: Naren Sarayu Manoj, Avrim Blum | Published: 2021-09-02 | Updated: 2021-11-03
EG-Booster: Explanation-Guided Booster of ML Evasion Attacks
Authors: Abderrahmen Amich, Birhanu Eshete | Published: 2021-08-31 | Updated: 2021-09-02
Semantic-Preserving Adversarial Text Attacks
Authors: Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu | Published: 2021-08-23 | Updated: 2023-03-03
“Adversarial Examples” for Proof-of-Learning
Authors: Rui Zhang, Jian Liu, Yuan Ding, Zhibo Wu, Qingbiao Wang, Kui Ren | Published: 2021-08-21 | Updated: 2022-04-05
Advances in adversarial attacks and defenses in computer vision: A survey
Authors: Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah | Published: 2021-08-01 | Updated: 2021-09-02
Unsupervised Detection of Adversarial Examples with Model Explanations
Authors: Gihyuk Ko, Gyumin Lim | Published: 2021-07-22