Hardware Trojan

Hardware Trojans (HTs) are malicious modifications secretly embedded in integrated circuits (ICs), posing a significant threat to security and functionality. Current research focuses on developing both detection and insertion methods using machine learning, particularly graph neural networks (GNNs) and reinforcement learning (RL), to create more realistic and effective adversarial examples. These advancements aim to improve the accuracy and efficiency of HT detection, while simultaneously revealing vulnerabilities in existing defense mechanisms, ultimately contributing to more robust and secure IC design and verification processes.

Papers

October 21, 2024

Hiding in Plain Sight: Reframing Hardware Trojan Benchmarking as a Hide&Seek Modification
Amin Sarihi, Ahmad Patooghy, Peter Jamieson, Abdel-Hameed A. Badawy
Plain Sight Trojan Detection Hardware Trojan Circuit Analysis Interpretability Scale Hardware Trojan Detection

July 17, 2024

SENTAUR: Security EnhaNced Trojan Assessment Using LLMs Against Undesirable Revisions
Jitendra Bhandari, Rajat Sadhukhan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri
Medical LLM Comprehensive Trustworthiness Electronic Design Automation Hardware Trojan Many Unicorn Desirable Reasoning Revision

July 5, 2024

An AI Architecture with the Capability to Classify and Explain Hardware Trojans
Paul Whitten, Francis Wolff, Chris Papachristou
Machine Learning Capability Evolution Classification Application Hardware Trojan Artificial Intelligence Architecture Hardware Trojan Detection

May 24, 2024

TrojanForge: Generating Adversarial Hardware Trojan Examples with Reinforcement Learning
Amin Sarihi, Peter Jamieson, Ahmad Patooghy, Abdel-Hameed A. Badawy
Reinforcement Learning Generative Adversarial Network Adversarial Example Attack Success Rate Hardware Trojan Adversarial Malware

May 9, 2024

TroLLoc: Logic Locking and Layout Hardening for IC Security Closure against Hardware Trojans
Fangzhou Wang, Qijing Wang, Lilas Alrahis, Bangqi Fu, Shui Jiang, Xiaopeng Zhang, Ozgur Sinanoglu, Tsung-Yi Ho, Evangeline F. Y. Young, Johann Knechtel
Optimal Layout Hardware Trojan Logic Design Security Closure

February 27, 2024

The Seeker's Dilemma: Realistic Formulation and Benchmarking for Hardware Trojan Detection
Amin Sarihi, Ahmad Patooghy, Abdel-Hameed A. Badawy, Peter Jamieson
Benchmark Platform Accurate Model Emotional Dilemma Hardware Trojan Circuit Analysis Interpretability Scale Hardware Trojan Detection

February 21, 2024

AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning
Vasudev Gohil, Satwik Patnaik, Dileep Kalathil, Jeyavijayan Rajendran
Red Teaming Obfuscation Technique Attack Graph Hardware Trojan Biological Circuit Hardware Security

January 15, 2024

Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning
Rahul Vishwakarma, Amin Rezaei
Generative Adversarial Network Multimodal Deep Learning Hardware Trojan Hardware Trojan Detection Hardware Security

January 4, 2024

Evasive Hardware Trojan through Adversarial Power Trace
Behnam Omidi, Khaled N. Khasawneh, Ihsen Alouani
Side Channel Hardware Trojan Adversarial Capability Hardware Security

April 26, 2023

Multi-criteria Hardware Trojan Detection: A Reinforcement Learning Approach
Amin Sarihi, Peter Jamieson, Ahmad Patooghy, Abdel-Hameed A. Badawy
Multi Objective Reinforcement Learning Approach Detection Method Detection Algorithm Hardware Trojan Hardware Trojan Detection

April 17, 2023

Evil from Within: Machine Learning Backdoors through Hardware Trojans
Alexander Warnecke, Julian Speith, Jan-Niklas Möller, Konrad Rieck, Christof Paar
Backdoor Attack Backdoor Learning Hardware Trojan

February 3, 2023

Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li, Nam Sung Kim, Josep Torrellas
Neural Network Machine Learning Adversarial Learning Side Channel Hardware Trojan

November 15, 2022

Security Closure of IC Layouts Against Hardware Trojans
Fangzhou Wang, Qijing Wang, Bangqi Fu, Shui Jiang, Xiaopeng Zhang, Lilas Alrahis, Ozgur Sinanoglu, Johann Knechtel, Tsung-Yi Ho, Evangeline F. Y. Young
Hardware Trojan Logic Design Security Closure Integrated Circuit Design Hardware Trojan Detection

August 29, 2022

Reinforcement Learning for Hardware Security: Opportunities, Developments, and Challenges
Satwik Patnaik, Vasudev Gohil, Hao Guo, Jeyavijayan, Rajendran
Reinforcement Learning Technical Challenge Emerging Opportunity Hardware Trojan Autonomous Reinforcement Learning Hardware Security

August 26, 2022

July 20, 2022

EVHA: Explainable Vision System for Hardware Testing and Assurance -- An Overview
Md Mahfuz Al Hasan, Mohammad Tahsin Mostafiz, Thomas An Le, Jake Julia, Nidish Vashistha, Shayan Taheri, Navid Asadizanjani
Chip Design Hardware Trojan Hardware Attack Architecture Cell Hardware Debugging

July 14, 2022

Golden Reference-Free Hardware Trojan Localization using Graph Convolutional Network
Rozhin Yasaei, Sina Faezi, Mohammad Abdullah Al Faruque
Graph Convolutional Network Localization Method Hardware Trojan Untrusted Data Hardware Trojan Detection

April 12, 2022

AdaTest:Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection
Huili Chen, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
Reinforcement Learning Test Time Adaptation Adaptive Sampling Test Generation Trojan Detection Hardware Trojan Hardware Trojan Detection

April 9, 2022

Hardware Trojan Insertion Using Reinforcement Learning
Amin Sarihi, Ahmad Patooghy, Peter Jamieson, Abdel-Hameed A. Badawy
Reinforcement Learning Reinforcement Learning Agent Hardware Trojan Benchmark Circuit

Hardware Trojan

Papers

Hiding in Plain Sight: Reframing Hardware Trojan Benchmarking as a Hide&Seek Modification

SENTAUR: Security EnhaNced Trojan Assessment Using LLMs Against Undesirable Revisions

An AI Architecture with the Capability to Classify and Explain Hardware Trojans

TrojanForge: Generating Adversarial Hardware Trojan Examples with Reinforcement Learning

TroLLoc: Logic Locking and Layout Hardening for IC Security Closure against Hardware Trojans

The Seeker's Dilemma: Realistic Formulation and Benchmarking for Hardware Trojan Detection

AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning

Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning

Evasive Hardware Trojan through Adversarial Power Trace

Multi-criteria Hardware Trojan Detection: A Reinforcement Learning Approach

Evil from Within: Machine Learning Backdoors through Hardware Trojans

Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation

Security Closure of IC Layouts Against Hardware Trojans

Reinforcement Learning for Hardware Security: Opportunities, Developments, and Challenges

ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning

DETERRENT: Detecting Trojans using Reinforcement Learning

EVHA: Explainable Vision System for Hardware Testing and Assurance -- An Overview

Golden Reference-Free Hardware Trojan Localization using Graph Convolutional Network

AdaTest:Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection

Hardware Trojan Insertion Using Reinforcement Learning