Adversarial Attacks on Graph Classification via Bayesian Optimisation
Authors: Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong | Published: 2021-11-04
敵対的攻撃手法
Multi-concept adversarial attacks
Authors: Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani M. Thuraisingham | Published: 2021-10-19
Poisoning Attacks on Fair Machine Learning
Authors: Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu | Published: 2021-10-17
Adversarial Attacks on Gaussian Process Bandits
Authors: Eric Han, Jonathan Scarlett | Published: 2021-10-16 | Updated: 2022-06-16
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
Bandwidth Utilization Side-Channel on ML Inference Accelerators
Authors: Sarbartha Banerjee, Shijia Wei, Prakash Ramrakhyani, Mohit Tiwari | Published: 2021-10-14
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks
Authors: Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao | Published: 2021-10-13 | Updated: 2022-06-15
On the Security Risks of AutoML
Authors: Ren Pang, Zhaohan Xi, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2021-10-12
Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability
Authors: Bilel Tarchoun, Ihsen Alouani, Anouar Ben Khalifa, Mohamed Ali Mahjoub | Published: 2021-10-10
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