16 citations · 19 across the 8 of their papers we have counts for
4 papers · 1 filter
Burning the Adversarial Bridges: Robust Windows Malware Detection Against Binary-level Mutations
Ahmed Abusnaina, Yizhen Wang, Sunpreet Arora +3
Toward robust malware detection, we explore the attack surface of existing malware detection systems. We conduct root-cause analyses of the practical binary-level black-box adversa…
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning
Hao Chen, Chen Gong, Yizhe Wang +1
A backdoor attack allows a malicious user to manipulate the environment or corrupt the training data, thus inserting a backdoor into the trained agent. Such attacks compromise the…
Robust and Accurate Authorship Attribution via Program Normalization
Yizhen Wang, Mohannad Alhanahnah, Ke Wang +2
Source code attribution approaches have achieved remarkable accuracy thanks to the rapid advances in deep learning. However, recent studies shed light on their vulnerability to adv…
Robustness for Non-Parametric Classification: A Generic Attack and Defense
Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang +1
Adversarially robust machine learning has received much recent attention. However, prior attacks and defenses for non-parametric classifiers have been developed in an ad-hoc or cla…