activity
20192025
most citedUNSAIL: Thwarting Oracle-Less Machine Learning Attacks on Logic Locking

44 citations · 46 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AR2025

Bi-SamplerZ: A Rejection-Aware Cooperative Gaussian Sampling Framework for Falcon Signature Hardware

Binke Zhao, Ghada Alsuhi, Hani Saleh +1

We present Bi-SamplerZ, a rejection-aware cooperative sampling framework that converts this idle capacity into useful computation. After an asymmetric accept/reject outcome, Bi- Sa…

eess.SP2024★ 1 cited

Area and Power Efficient FFT/IFFT Processor for FALCON Post-Quantum Cryptography

Ghada Alsuhli, Hani Saleh, Mahmoud Al-Qutayri +2

Quantum computing is an emerging technology on the verge of reshaping industries, while simultaneously challenging existing cryptographic algorithms. FALCON, a recent standard quan…

cs.NE2023★ 1 cited

Number Systems for Deep Neural Network Architectures: A Survey

Ghada Alsuhli, Vasileios Sakellariou, Hani Saleh +3

Deep neural networks (DNNs) have become an enabling component for a myriad of artificial intelligence applications. DNNs have shown sometimes superior performance, even compared to…

cs.LG2021

C3PU: Cross-Coupling Capacitor Processing Unit Using Analog-Mixed Signal In-Memory Computing for AI Inference

Dima Kilani, Baker Mohammad, Yasmin Halawani +2

This paper presents a novel cross-coupling capacitor processing unit (C3PU) that supports analog-mixed signal in memory computing to perform multiply-and-accumulate (MAC) operation…

cs.CV2021

Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification

Mohammed F. Tolba, Huruy Tekle Tesfai, Hani Saleh +2

Deep Neural Networks (DNNs) are computationally and memory intensive, which makes their hardware implementation a challenging task especially for resource constrained devices such…

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.CR2020★ 44 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…