activity
20192022
most citedUNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking

44 citations · 48 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20223 cited

Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs

Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu

Graph neural networks (GNNs) have pushed the state-of-the-art (SOTA) for performance in learning and predicting on large-scale data present in social networks, biology, etc. Since…

cs.CR20221 cited

Security Closure of IC Layouts Against Hardware Trojans

Fangzhou Wang, Qijing Wang, Bangqi Fu +7

Due to cost benefits, supply chains of integrated circuits (ICs) are largely outsourced nowadays. However, passing ICs through various third-party providers gives rise to many thre…

cs.CR2020

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

Lilas Alrahis, Satwik Patnaik, Faiq Khalid +4

In this paper, we propose GNNUnlock, the first-of-its-kind oracle-less machine learning-based attack on provably secure logic locking that can identify any desired protection logic…

cs.CR202044 cited

UNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking

Lilas Alrahis, Satwik Patnaik, Johann Knechtel +4

Logic locking aims to protect the intellectual property (IP) of integrated circuit (IC) designs throughout the globalized supply chain. The SAIL attack, based on tailored machine l…

cs.CR2019

ScanSAT: Unlocking Static and Dynamic Scan Obfuscation

Lilas Alrahis, Muhammad Yasin, Nimisha Limaye +4

While financially advantageous, outsourcing key steps, such as testing, to potentially untrusted Outsourced Assembly and Test (OSAT) companies may pose a risk of compromising on-ch…