activity
20202026
most citedBenchmarking at the Frontier of Hardware Security: Lessons from Logic Locking

29 citations · 41 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CR2026

PATCH-FFT: Unmasking Dormant Hardware Trojans with Patch-Based Frequency-Domain Transformers

Hasala Senevirathne, Amin Rezaei

Hardware Trojans embedded by malicious entities in integrated circuits can covertly leak sensitive information through power side channels, often remaining undetected in their dorm…

cs.CR2026

TroPUF: Evaluating Hardware Trojan Insertion in Delay-Based Physical Unclonable Functions

Marissa Marcarelli, Amin Rezaei

Delay-based Physical Unclonable Functions (PUFs) are commonly used for device authentication and key generation due to the fact that they rely on manufacturing induced delay variat…

cs.CR2026

Early Detection of Hardware Trojans Using Neural Controlled Differential Equations and Analysis of Power Traces

Hasala Senevirathne, Rahul Vishwakarma, Amin Rezaei

Evolving Hardware Trojans pose a serious threat to modern digital systems by evading traditional detection through stealthy, adaptive behavior. Even recent methods that leverage ad…

cs.LG2026

Horizon-Constrained Rashomon Sets for Chaotic Forecasting

Gauri Kale, Rahul Vishwakarma, Holly Diamond +2

Predictive multiplicity and chaotic dynamics represent two fundamental challenges in machine learning that have evolved independently despite their conceptual connections. We bridg…

cs.CR2025

REDACTOR: eFPGA Redaction for DNN Accelerator Security

Yazan Baddour, Ava Hedayatipour, Amin Rezaei

With the ever-increasing integration of artificial intelligence into daily life and the growing importance of well-trained models, the security of hardware accelerators supporting…

cs.CR2025

Cute-Lock: Behavioral and Structural Multi-Key Logic Locking Using Time Base Keys

Kevin Lopez, Amin Rezaei

The outsourcing of semiconductor manufacturing raises security risks, such as piracy and overproduction of hardware intellectual property. To overcome this challenge, logic locking…

cs.CR2025★ 9 cited

K-Gate Lock: Multi-Key Logic Locking Using Input Encoding Against Oracle-Guided Attacks

Kevin Lopez, Amin Rezaei

Logic locking has emerged to prevent piracy and overproduction of integrated circuits ever since the split of the design house and manufacturing foundry was established. While ther…

cs.CR2024

CycPUF: Cyclic Physical Unclonable Function

Michael Dominguez, Amin Rezaei

Physical Unclonable Functions (PUFs) leverage manufacturing process imperfections that cause propagation delay discrepancies for the signals traveling along these paths. While PUFs…

cs.CR2024

LIPSTICK: Corruptibility-Aware and Explainable Graph Neural Network-based Oracle-Less Attack on Logic Locking

Yeganeh Aghamohammadi, Amin Rezaei

In a zero-trust fabless paradigm, designers are increasingly concerned about hardware-based attacks on the semiconductor supply chain. Logic locking is a design-for-trust method th…

cs.CR2024

Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning

Rahul Vishwakarma, Amin Rezaei

The risk of hardware Trojans being inserted at various stages of chip production has increased in a zero-trust fabless era. To counter this, various machine learning solutions have…

cs.CR2023

Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection

Rahul Vishwakarma, Amin Rezaei

As the semiconductor industry has shifted to a fabless paradigm, the risk of hardware Trojans being inserted at various stages of production has also increased. Recently, there has…

cs.CR2023

Attacks on Continuous Chaos Communication and Remedies for Resource Limited Devices

Rahul Vishwakarma, Ravi Monani, Amin Rezaei +3

The Global Wearable market is anticipated to rise at a considerable rate in the next coming years and communication is a fundamental block in any wearable device. In communication,…

cs.CV2020★ 3 cited

KNN-enhanced Deep Learning Against Noisy Labels

Shuyu Kong, You Li, Jia Wang +2

Supervised learning on Deep Neural Networks (DNNs) is data hungry. Optimizing performance of DNN in the presence of noisy labels has become of paramount importance since collecting…

cs.CR2020★ 29 cited

Benchmarking at the Frontier of Hardware Security: Lessons from Logic Locking

Benjamin Tan, Ramesh Karri, Nimisha Limaye +33

Integrated circuits (ICs) are the foundation of all computing systems. They comprise high-value hardware intellectual property (IP) that are at risk of piracy, reverse-engineering,…