Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Authors: Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane Boning, Cho-Jui Hsieh | Published: 2020-03-19 | Updated: 2021-07-14
RAB: Provable Robustness Against Backdoor Attacks
Authors: Maurice Weber, Xiaojun Xu, Bojan Karlaš, Ce Zhang, Bo Li | Published: 2020-03-19 | Updated: 2023-08-03
Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
Authors: Abhishek Jana, Bipin Paudel, Md Kamruzzaman Sarker, Monireh Ebrahimi, Pascal Hitzler, George T Amariucai | Published: 2020-03-18 | Updated: 2023-12-19
Deep Quaternion Features for Privacy Protection
Authors: Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang | Published: 2020-03-18 | Updated: 2020-06-21
Adversarial Transferability in Wearable Sensor Systems
Authors: Ramesh Kumar Sah, Hassan Ghasemzadeh | Published: 2020-03-17 | Updated: 2021-07-15
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework
Authors: Huafei Zhu, Zengxiang Li, Mervyn Cheah, Rick Siow Mong Goh | Published: 2020-03-17 | Updated: 2020-04-08
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems
Authors: Yue Wang, Esha Sarkar, Wenqing Li, Michail Maniatakos, Saif Eddin Jabari | Published: 2020-03-17 | Updated: 2021-08-26
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks
Authors: Yusuke Tashiro, Yang Song, Stefano Ermon | Published: 2020-03-15 | Updated: 2020-10-30
Certified Defenses for Adversarial Patches
Authors: Ping-Yeh Chiang, Renkun Ni, Ahmed Abdelkader, Chen Zhu, Christoph Studer, Tom Goldstein | Published: 2020-03-14 | Updated: 2020-09-25
A Survey of Adversarial Learning on Graphs
Authors: Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng, Bingzhe Wu | Published: 2020-03-10 | Updated: 2022-04-05