11 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Solving Trojan Detection Competitions with Linear Weight Classification
Todd Huster, Peter Lin, Razvan Stefanescu +2
Neural networks can conceal malicious Trojan backdoors that allow a trigger to covertly change the model behavior. Detecting signs of these backdoors, particularly without access t…
cs.LG2021★ 11 cited
TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation
Todd Huster, Emmanuel Ekwedike
Deep neural networks (DNNs) are vulnerable to "backdoor" poisoning attacks, in which an adversary implants a secret trigger into an otherwise normally functioning model. Detection…
cs.AI2018★ 8 cited
Feedback-Based Tree Search for Reinforcement Learning
Daniel R. Jiang, Emmanuel Ekwedike, Han Liu
Inspired by recent successes of Monte-Carlo tree search (MCTS) in a number of artificial intelligence (AI) application domains, we propose a model-based reinforcement learning (RL)…