14 citations · 18 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…
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…
Janus: An Uncertain Cache Architecture to Cope with Side Channel Attacks
Hossein Hosseinzadeh, Mihailo Isakov, Mostafa Darabi +2
Side channel attacks are a major class of attacks to crypto-systems. Attackers collect and analyze timing behavior, I/O data, or power consumption in these systems to undermine the…