16 citations · 19 across the 8 of their papers we have counts for
3 papers · 1 filter
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation
Sunpreet Arora, Andrew Beams, Panagiotis Chatzigiannis +9
One of the main goals of financial institutions (FIs) today is combating fraud and financial crime. To this end, FIs use sophisticated machine-learning models trained using data co…
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…