GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking

10 December 2020

Papers citing "GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking"

7 / 7 papers shown

Title
Library-Attack: Reverse Engineering Approach for Evaluating Hardware IP Protection Aritra Dasgupta Sudipta Paria Christopher Sozio Andrew Lukefahr S. Bhunia AAML 64 1 0 21 Jan 2025
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs Lilas Alrahis J. Knechtel Ozgur Sinanoglu GNN AI4CE 36 22 0 29 Nov 2022
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation Lilas Alrahis J. Knechtel F. Klemme H. Amrouch Ozgur Sinanoglu 26 20 0 04 Aug 2022
Complexity Analysis of the SAT Attack on Logic Locking Yadi Zhong Ujjwal Guin 17 15 0 05 Jul 2022
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction Lilas Alrahis Satwik Patnaik Muhammad Shafique Ozgur Sinanoglu AAML 25 29 0 14 Dec 2021
ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering Subhajit Dutta Chowdhury Kaixin Yang Pierluigi Nuzzo GNN 15 26 0 01 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 13 12 0 05 Jul 2021