973 citations · 1.8k across the 62 of their papers we have counts for
68 papers
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric
Sara Ghazanfari, Siddharth Garg, Prashanth Krishnamurthy +2
Similarity metrics have played a significant role in computer vision to capture the underlying semantics of images. In recent years, advanced similarity metrics, such as the Learne…
VeriGen: A Large Language Model for Verilog Code Generation
Shailja Thakur, Baleegh Ahmad, Hammond Pearce +4
In this study, we explore the capability of Large Language Models (LLMs) to automate hardware design by generating high-quality Verilog code, a common language for designing and mo…
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg +1
This paper proposes a data-efficient detection method for deep neural networks against backdoor attacks under a black-box scenario. The proposed approach is motivated by the intuit…
Towards Better Certified Segmentation via Diffusion Models
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon +4
The robustness of image segmentation has been an important research topic in the past few years as segmentation models have reached production-level accuracy. However, like classif…
INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search
Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan +2
Logic synthesis is the first and most vital step in chip design. This steps converts a chip specification written in a hardware description language (such as Verilog) into an optim…
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design
Jason Blocklove, Siddharth Garg, Ramesh Karri +1
Modern hardware design starts with specifications provided in natural language. These are then translated by hardware engineers into appropriate Hardware Description Languages (HDL…