14 citations · 14 across the 4 of their papers we have counts for
4 papers
Trojan Playground: A Reinforcement Learning Framework for Hardware Trojan Insertion and Detection
Amin Sarihi, Ahmad Patooghy, Peter Jamieson +1
Current Hardware Trojan (HT) detection techniques are mostly developed based on a limited set of HT benchmarks. Existing HT benchmark circuits are generated with multiple shortcomi…
Multi-criteria Hardware Trojan Detection: A Reinforcement Learning Approach
Amin Sarihi, Peter Jamieson, Ahmad Patooghy +1
Hardware Trojans (HTs) are undesired design or manufacturing modifications that can severely alter the security and functionality of digital integrated circuits. HTs can be inserte…
A Technique to Create Weaker Abstract Board Game Agents via Reinforcement Learning
Peter Jamieson, Indrima Upadhyay
Board games, with the exception of solo games, need at least one other player to play. Because of this, we created Artificial Intelligent (AI) agents to play against us when an opp…
Hardware Trojan Insertion Using Reinforcement Learning
Amin Sarihi, Ahmad Patooghy, Peter Jamieson +1
This paper utilizes Reinforcement Learning (RL) as a means to automate the Hardware Trojan (HT) insertion process to eliminate the inherent human biases that limit the development…