3 papers
cs.LG2025
Beating Backdoor Attack at Its Own Game
Min Liu, Alberto Sangiovanni-Vincentelli, Xiangyu Yue
Deep neural networks (DNNs) are vulnerable to backdoor attack, which does not affect the network's performance on clean data but would manipulate the network behavior once a trigge…
cs.SE2024
ScenicNL: Generating Probabilistic Scenario Programs from Natural Language
Karim Elmaaroufi, Devan Shanker, Ana Cismaru +4
For cyber-physical systems (CPS), including robotics and autonomous vehicles, mass deployment has been hindered by fatal errors that occur when operating in rare events. To replica…
cs.LG2024
Learning to Generate All Feasible Actions
Mirco Theile, Daniele Bernardini, Raphael Trumpp +3
Modern cyber-physical systems are becoming increasingly complex to model, thus motivating data-driven techniques such as reinforcement learning (RL) to find appropriate control age…