94 citations · 181 across the 19 of their papers we have counts for
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cs.LG2021★ 14 cited
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors
Zhengyi Wang, Zhongkai Hao, Ziqiao Wang +2
While deep neural networks have achieved great success in graph analysis, recent work has shown that they are vulnerable to adversarial attacks. Compared with adversarial attacks o…
cs.LG2021★ 5 cited
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning
You Qiaoben, Chengyang Ying, Xinning Zhou +3
Deep reinforcement learning models are vulnerable to adversarial attacks that can decrease a victim's cumulative expected reward by manipulating the victim's observations. Despite…