37 citations · 168 across the 27 of their papers we have counts for
9 papers · 1 filter
LLMPirate: LLMs for Black-box Hardware IP Piracy
Vasudev Gohil, Matthew DeLorenzo, Veera Vishwa Achuta Sai Venkat Nallam +2
The rapid advancement of large language models (LLMs) has enabled the ability to effectively analyze and generate code nearly instantaneously, resulting in their widespread adoptio…
Fuzzerfly Effect: Hardware Fuzzing for Memory Safety
Mohamadreza Rostami, Chen Chen, Rahul Kande +3
Hardware-level memory vulnerabilities severely threaten computing systems. However, hardware patching is inefficient or difficult postfabrication. We investigate the effectiveness…
Lost and Found in Speculation: Hybrid Speculative Vulnerability Detection
Mohamadreza Rostami, Shaza Zeitouni, Rahul Kande +5
Microarchitectural attacks represent a challenging and persistent threat to modern processors, exploiting inherent design vulnerabilities in processors to leak sensitive informatio…
CreativEval: Evaluating Creativity of LLM-Based Hardware Code Generation
Matthew DeLorenzo, Vasudev Gohil, Jeyavijayan Rajendran
Large Language Models (LLMs) have proved effective and efficient in generating code, leading to their utilization within the hardware design process. Prior works evaluating LLMs' a…
Beyond Random Inputs: A Novel ML-Based Hardware Fuzzing
Mohamadreza Rostami, Marco Chilese, Shaza Zeitouni +3
Modern computing systems heavily rely on hardware as the root of trust. However, their increasing complexity has given rise to security-critical vulnerabilities that cross-layer at…
WhisperFuzz: White-Box Fuzzing for Detecting and Locating Timing Vulnerabilities in Processors
Pallavi Borkar, Chen Chen, Mohamadreza Rostami +5
Timing vulnerabilities in processors have emerged as a potent threat. As processors are the foundation of any computing system, identifying these flaws is imperative. Recently fuzz…