Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach

20 November 2020

Papers citing "Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach"

8 / 8 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
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning A. B. Chowdhury Lilas Alrahis Luca Collini J. Knechtel Ramesh Karri S. Garg Ozgur Sinanoglu Benjamin Tan AAML 47 6 0 06 Mar 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
Complexity Analysis of the SAT Attack on Logic Locking Yadi Zhong Ujjwal Guin 33 15 0 05 Jul 2022
HOLL: Program Synthesis for Higher OrderLogic Locking Gourav Takhar Ramesh Karri C. Pilato Subhajit Roy 54 11 0 25 Jan 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
ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering Subhajit Dutta Chowdhury Kaixin Yang Pierluigi Nuzzo GNN 23 27 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 32 12 0 05 Jul 2021