669 citations · 778 across the 10 of their papers we have counts for
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cs.LG2021★ 1 cited
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses
Buse G. A. Tekgul, Shelly Wang, Samuel Marchal +1
Deep reinforcement learning (DRL) is vulnerable to adversarial perturbations. Adversaries can mislead the policies of DRL agents by perturbing the state of the environment observed…
cs.CR2021★ 4 cited
FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
Thien Duc Nguyen, Phillip Rieger, Huili Chen +10
Federated Learning (FL) is a collaborative machine learning approach allowing participants to jointly train a model without having to share their private, potentially sensitive loc…