Deceptive Logic Locking for Hardware Integrity Protection against Machine Learning Attacks

19 July 2021

Papers citing "Deceptive Logic Locking for Hardware Integrity Protection against Machine Learning Attacks"

6 / 6 papers shown

Title
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs Lilas Alrahis J. Knechtel Ozgur Sinanoglu GNN AI4CE 76 24 0 29 Nov 2022
Embracing Graph Neural Networks for Hardware Security (Invited Paper) Lilas Alrahis Satwik Patnaik Mohamed Bennai Ozgur Sinanoglu 53 16 0 17 Aug 2022
AFIA: ATPG-Guided Fault Injection Attack on Secure Logic Locking Yadi Zhong Ayush Jain M. T. Rahman Navid Asadizanjani Jiafeng Xie Ujjwal Guin 88 8 0 09 Jun 2022
Designing ML-Resilient Locking at Register-Transfer Level Dominik Sisejkovic Luca Collini Benjamin Tan C. Pilato Ramesh Karri Rainer Leupers AAML 31 7 0 10 Mar 2022
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction Lilas Alrahis Satwik Patnaik Mohamed Bennai Ozgur Sinanoglu AAML 58 31 0 14 Dec 2021
Logic Locking at the Frontiers of Machine Learning: A Survey on Developments and Opportunities Dominik Sisejkovic Lennart M. Reimann Elmira Moussavi Farhad Merchant Rainer Leupers AAML 118 13 0 05 Jul 2021