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20172026
most citedObfuscating the Interconnects: Low-Cost and Resilient Full-Chip Layout Camouflaging

52 citations · 600 across the 60 of their papers we have counts for

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Showing cs.CRShow all

42 papers · 1 filter

cs.CR2026

Hardware Design and Security in the Era of Chiplets and LLMs

Johann Knechtel, Ozgur Sinanoglu, Paul V. Gratz +1

The semiconductor industry is undergoing a dual revolution: the shift toward heterogeneous 2.5D chiplet systems and the integration of Large Language Models (LLMs) into Electronic…

cs.CR2026

Security Analysis for SCONE Logic Locking

Akashdeep Saha, Mohammed Nabeel, Johann Knechtel +2

SCONE [DAC'25] expands a logic locking interface with additional encoded inputs derived from the original primary inputs, and admits two realizations: a \textit{with-ES} variant, w…

cs.CR2026

2.5D Root of Trust: Securing the Chiplet Ecosystem

Charles Williams, Mohammed Nabeel, Gino Chacon +3

The semiconductor industry is rapidly transitioning from monolithic systems-on-chip toward heterogeneous, multi-vendor 2.5D chiplet ecosystems integrated via silicon interposers. W…

cs.CR2026

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges

Johann Knechtel, Ozgur Sinanoglu, Ramesh Karri

The integration of Large Language Models (LLMs) into Electronic Design Automation (EDA) and hardware security is rapidly reshaping the semiconductor industry. While LLMs offer unpr…

cs.CR2026★ 1 cited

HarmChip: Evaluating Hardware Security Centric LLM Safety via Jailbreak Benchmarking

Zeng Wang, Minghao Shao, Weimin Fu +6

The integration of large language models (LLMs) into electronic design automation (EDA) workflows has introduced powerful capabilities for RTL generation, verification, and design…

cs.CR2026

LLM4PQC - Accurate and Efficient Synthesis of PQC Cores by Feedback-Driven LLMs

Buddhi Perera, Zeng Wang, Weihua Xiao +4

The design of post-quantum cryptography (PQC) hardware is a complex and hierarchical process with many challenges. A primary bottleneck is the conversion of PQC reference codes fro…

cs.CR2026

TrojanGYM: A Detector-in-the-Loop LLM for Adaptive RTL Hardware Trojan Insertion

Saideep Sreekumar, Zeng Wang, Akashdeep Saha +6

Hardware Trojans (HTs) remain a critical threat because learning-based detectors often overfit to narrow trigger/payload patterns and small, stylized benchmarks. We introduce Troja…

cs.CR2025

Revisiting Logic Encryption

Rupesh Raj Karn, Lakshmi Likhitha Mankali, Zeng Wang +5

Modern circuits face various threats like reverse engineering, theft of intellectual property (IP), side-channel attacks, etc. Here, we present a novel approach for IP protection b…

cs.CR2025

TrojanLoC: LLM-based Framework for RTL Trojan Localization

Weihua Xiao, Zeng Wang, Minghao Shao +6

Hardware Trojans (HT s) are a persistent threat to integrated circuits, especially when inserted at the register-transfer level (RTL). Existing methods typically first convert the…

cs.CR2025

LockForge: Automating Paper-to-Code for Logic Locking with Multi-Agent Reasoning LLMs

Akashdeep Saha, Zeng Wang, Prithwish Basu Roy +3

Despite rapid progress in logic locking (LL), reproducibility remains a challenge as codes are rarely made public. We present LockForge, a first-of-its-kind, multi-agent large lang…

cs.CR2025

NetDeTox: Adversarial and Efficient Evasion of Hardware-Security GNNs via RL-LLM Orchestration

Zeng Wang, Minghao Shao, Akashdeep Saha +4

Graph neural networks (GNNs) have shown promise in hardware security by learning structural motifs from netlist graphs. However, this reliance on motifs makes GNNs vulnerable to ad…

cs.CR2025

Targeted Wearout Attacks in Microprocessor Cores

Joshua Mashburn, Johann Knechtel, Florian Klemme +3

Negative-Bias Temperature Instability is a dominant aging mechanism in nanoscale CMOS circuits such as microprocessors. With this aging mechanism, the rate of device aging is depen…

cs.CR2025

VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding

Zeng Wang, Minghao Shao, Mohammed Nabeel +7

Large language models (LLMs) offer significant potential for coding, yet fine-tuning (FT) with curated data is essential for niche languages like Verilog. Using proprietary intelle…

cs.CR2024

RTL-Breaker: Assessing the Security of LLMs against Backdoor Attacks on HDL Code Generation

Lakshmi Likhitha Mankali, Jitendra Bhandari, Manaar Alam +4

Large language models (LLMs) have demonstrated remarkable potential with code generation/completion tasks for hardware design. In fact, LLM-based hardware description language (HDL…

cs.CR2024

ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search

Jitendra Bhandari, Animesh Basak Chowdhury, Mohammed Nabeel +4

Power side-channel (PSC) analysis is pivotal for securing cryptographic hardware. Prior art focused on securing gate-level netlists obtained as-is from chip design automation, negl…

cs.CR2024★ 2 cited

TroLLoc: Logic Locking and Layout Hardening for IC Security Closure against Hardware Trojans

Fangzhou Wang, Qijing Wang, Lilas Alrahis +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 secu…

cs.CR2024

Lightweight Countermeasures Against Static Power Side-Channel Attacks

Jitendra Bhandari, Mohammed Nabeel, Likhitha Mankali +3

This paper presents a novel defense strategy against static power side-channel attacks (PSCAs), a critical threat to cryptographic security. Our method is based on (1) carefully tu…

cs.CR2023★ 1 cited

ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning

Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini +5

Oracle-less machine learning (ML) attacks have broken various logic locking schemes. Regular synthesis, which is tailored for area-power-delay optimization, yields netlists where k…

cs.CR2023★ 1 cited

TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection

Hazem Lashen, Lilas Alrahis, Johann Knechtel +1

We propose TrojanSAINT, a graph neural network (GNN)-based hardware Trojan (HT) detection scheme working at the gate level. Unlike prior GNN-based art, TrojanSAINT enables both pre…

cs.CR2022

X-Volt: Joint Tuning of Driver Strengths and Supply Voltages Against Power Side-Channel Attacks

Saideep Sreekumar, Mohammed Ashraf, Mohammed Nabeel +2

Power side-channel (PSC) attacks are well-known threats to sensitive hardware like advanced encryption standard (AES) crypto cores. Given the significant impact of supply voltages…

cs.CR2022★ 1 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.CR2022★ 1 cited

Hardware Trojan Threats to Cache Coherence in Modern 2.5D Chiplet Systems

Gino A. Chacon, Charles Williams, Johann Knechtel +2

As industry moves toward chiplet-based designs, the insertion of hardware Trojans poses a significant threat to the security of these systems. These systems rely heavily on cache c…

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.CR2020★ 45 cited

2.5D Root of Trust: Secure System-Level Integration of Untrusted Chiplets

Mohammed Nabeel, Mohammed Ashraf, Satwik Patnaik +3

Dedicated, after acceptance and publication, in memory of the late Vassos Soteriou. For the first time, we leverage the 2.5D interposer technology to establish system-level securit…