Hammond Pearce | DeepAI

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∙ 08/23/2023

Integrating Large Language Models into the Debugging C Compiler for generating contextual error explanations

This paper introduces a method for Large Language Models (LLM) to produc...

0 Andrew Taylor, et al. ∙

∙ 07/28/2023

VeriGen: A Large Language Model for Verilog Code Generation

In this study, we explore the capability of Large Language Models (LLMs)...

0 Shailja Thakur, et al. ∙

∙ 06/24/2023

LLM-assisted Generation of Hardware Assertions

The security of computer systems typically relies on a hardware root of ...

0 Rahul Kande, et al. ∙

∙ 06/22/2023

FLAG: Finding Line Anomalies (in code) with Generative AI

Code contains security and functional bugs. The process of identifying a...

0 Baleegh Ahmad, et al. ∙

∙ 05/22/2023

Chip-Chat: Challenges and Opportunities in Conversational Hardware Design

Modern hardware design starts with specifications provided in natural la...

0 Jason Blocklove, et al. ∙

∙ 05/11/2023

REMaQE – Reverse Engineering Math Equations from Executables

Cybersecurity attacks against industrial control systems and cyber-physi...

0 Meet Udeshi, et al. ∙

∙ 02/02/2023

Fixing Hardware Security Bugs with Large Language Models

Novel AI-based code-writing Large Language Models (LLMs) such as OpenAI'...

0 Baleegh Ahmad, et al. ∙

∙ 01/24/2023

A survey of Digital Manufacturing Hardware and Software Trojans

Digital Manufacturing (DM) refers to the on-going adoption of smarter, m...

0 Prithwish Basu Roy, et al. ∙

∙ 12/13/2022

Benchmarking Large Language Models for Automated Verilog RTL Code Generation

Automating hardware design could obviate a significant amount of human e...

0 Shailja Thakur, et al. ∙

∙ 09/02/2022

Don't CWEAT It: Toward CWE Analysis Techniques in Early Stages of Hardware Design

To help prevent hardware security vulnerabilities from propagating to la...

0 Baleegh Ahmad, et al. ∙

∙ 08/20/2022

Security Implications of Large Language Model Code Assistants: A User Study

Advances in Deep Learning have led to the emergence of Large Language Mo...

0 Gustavo Sandoval, et al. ∙

∙ 07/21/2022

High-Level Approaches to Hardware Security: A Tutorial

Designers use third-party intellectual property (IP) cores and outsource...

0 Hammond Pearce, et al. ∙

∙ 02/02/2022

Pop Quiz! Can a Large Language Model Help With Reverse Engineering?

Large language models (such as OpenAI's Codex) have demonstrated impress...

0 Hammond Pearce, et al. ∙

∙ 12/03/2021

Can OpenAI Codex and Other Large Language Models Help Us Fix Security Bugs?

Human developers can produce code with cybersecurity weaknesses. Can eme...

0 Hammond Pearce, et al. ∙

∙ 11/24/2021

Needle in a Haystack: Detecting Subtle Malicious Edits to Additive Manufacturing G-code Files

Increasing usage of Digital Manufacturing (DM) in safety-critical domain...

0 Caleb Beckwith, et al. ∙

∙ 09/24/2021

Runtime Interchange for Adaptive Re-use of Intelligent Cyber-Physical System Controllers

Cyber-Physical Systems (CPSs) such as those found within autonomous vehi...

0 Hammond Pearce, et al. ∙

∙ 08/20/2021

An Empirical Cybersecurity Evaluation of GitHub Copilot's Code Contributions

There is burgeoning interest in designing AI-based systems to assist hum...

0 Hammond Pearce, et al. ∙

∙ 04/19/2021

FLAW3D: A Trojan-based Cyber Attack on the Physical Outcomes of Additive Manufacturing

Additive Manufacturing (AM) systems such as 3D printers use inexpensive ...

0 Hammond Pearce, et al. ∙

∙ 08/27/2020

DAVE: Deriving Automatically Verilog from English

While specifications for digital systems are provided in natural languag...

0 Hammond Pearce, et al. ∙

∙ 08/26/2020

Designing Neural Networks for Real-Time Systems

Artificial Neural Networks (ANNs) are increasingly being used within saf...

0 Hammond Pearce, et al. ∙

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