Adversarial Transferability in Wearable Sensor Systems
Authors: Ramesh Kumar Sah, Hassan Ghasemzadeh | Published: 2020-03-17 | Updated: 2021-07-15
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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
Manifold Regularization for Locally Stable Deep Neural Networks
Authors: Charles Jin, Martin Rinard | Published: 2020-03-09 | Updated: 2020-09-22
Towards Probabilistic Verification of Machine Unlearning
Authors: David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal | Published: 2020-03-09 | Updated: 2020-12-01
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world
Authors: Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev | Published: 2020-03-09 | Updated: 2020-10-12
Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM
Authors: Rui Zhang, Quanyan Zhu | Published: 2020-03-08 | Updated: 2020-04-26