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"

7 / 7 papers shown

Title
Similarity-Based Logic Locking Against Machine Learning Attacks Subhajit Dutta Chowdhury Kaixin Yang Pierluigi Nuzzo AAML 27 6 0 10 May 2023
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs Lilas Alrahis J. Knechtel Ozgur Sinanoglu GNN AI4CE 49 22 0 29 Nov 2022
Security Closure of IC Layouts Against Hardware Trojans Fangzhou Wang Qijing Wang Bangqi Fu Shui Jiang Xiaopeng Zhang Lilas Alrahis Ozgur Sinanoglu J. Knechtel Tsung-Yi Ho Evangeline F. Y. Young 23 15 0 15 Nov 2022
Embracing Graph Neural Networks for Hardware Security (Invited Paper) Lilas Alrahis Satwik Patnaik Mohamed Bennai Ozgur Sinanoglu 28 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 19 6 0 09 Jun 2022
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction Lilas Alrahis Satwik Patnaik Mohamed Bennai Ozgur Sinanoglu AAML 33 29 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 32 12 0 05 Jul 2021