4 papers
Trojans in Artificial Intelligence (TrojAI) Final Report
Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski +68
The Intelligence Advanced Research Projects Activity (IARPA) launched the TrojAI program to confront an emerging vulnerability in modern artificial intelligence: the threat of AI T…
-Explorer: Minimax Active Model Estimation in MDPs
Xihe Gu, Urbashi Mitra, Tara Javidi
Accurately estimating the transition dynamics of an unknown Markov decision process (MDP) is a central problem in reinforcement learning. The accuracy of overall model estimation,…
From Relative Entropy to Minimax: A Unified Framework for Coverage in MDPs
Xihe Gu, Urbashi Mitra, Tara Javidi
Targeted and deliberate exploration of state--action pairs is essential in reward-free Markov Decision Problems (MDPs). More precisely, different state-action pairs exhibit differe…
Trojan Cleansing with Neural Collapse
Xihe Gu, Greg Fields, Yaman Jandali +2
Trojan attacks are sophisticated training-time attacks on neural networks that embed backdoor triggers which force the network to produce a specific output on any input which inclu…