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20072026
most citedBenchmarking at the Frontier of Hardware Security: Lessons from Logic Locking

29 citations · 79 across the 45 of their papers we have counts for

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Showing 2025 · cs.CRShow all

8 papers · 2 filters

cs.CR2025

HAMLOCK: HArdware-Model LOgically Combined attacK

Sanskar Amgain, Daniel Lobo, Atri Chatterjee +2

The growing use of third-party hardware accelerators (e.g., FPGAs, ASICs) for deep neural networks (DNNs) introduces new security vulnerabilities. Conventional model-level backdoor…

cs.CR2025

Intelligent Graybox Fuzzing via ATPG-Guided Seed Generation and Submodule Analysis

Raghul Saravanan, Sudipta Paria, Aritra Dasgupta +2

Hardware Fuzzing emerged as one of the crucial techniques for finding security flaws in modern hardware designs by testing a wide range of input scenarios. One of the main challeng…

cs.CR2025

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage

Tanzim Mahfuz, Sudipta Paria, Tasneem Suha +2

Microelectronic systems are widely used in many sensitive applications (e.g., manufacturing, energy, defense). These systems increasingly handle sensitive data (e.g., encryption ke…

cs.CR2025

LASA: Enhancing SoC Security Verification with LLM-Aided Property Generation

Dinesh Reddy Ankireddy, Sudipta Paria, Aritra Dasgupta +2

Ensuring the security of modern System-on-Chip (SoC) designs poses significant challenges due to increasing complexity and distributed assets across the intellectual property (IP)…

cs.CR2025★ 1 cited

SynFuzz: Leveraging Fuzzing of Netlist to Detect Synthesis Bugs

Raghul Saravanan, Sudipta Paria, Aritra Dasgupta +3

In the evolving landscape of integrated circuit (IC) design, the increasing complexity of modern processors and intellectual property (IP) cores has introduced new challenges in en…

cs.CR2025

Runtime Detection of Adversarial Attacks in AI Accelerators Using Performance Counters

Habibur Rahaman, Atri Chatterjee, Swarup Bhunia

Rapid adoption of AI technologies raises several major security concerns, including the risks of adversarial perturbations, which threaten the confidentiality and integrity of AI a…

cs.CR2025★ 1 cited

SALTY: Explainable Artificial Intelligence Guided Structural Analysis for Hardware Trojan Detection

Tanzim Mahfuz, Pravin Gaikwad, Tasneem Suha +2

Hardware Trojans are malicious modifications in digital designs that can be inserted by untrusted supply chain entities. Hardware Trojans can give rise to diverse attack vectors su…

cs.CR2025★ 1 cited

Library-Attack: Reverse Engineering Approach for Evaluating Hardware IP Protection

Aritra Dasgupta, Sudipta Paria, Christopher Sozio +2

Existing countermeasures for hardware IP protection, such as obfuscation, camouflaging, and redaction, aim to defend against confidentiality and integrity attacks. However, within…