19 citations · 40 across the 4 of their papers we have counts for
4 papers
An Empirical Evaluation of LLMs for Solving Offensive Security Challenges
Minghao Shao, Boyuan Chen, Sofija Jancheska +4
Capture The Flag (CTF) challenges are puzzles related to computer security scenarios. With the advent of large language models (LLMs), more and more CTF participants are using LLMs…
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…
Can deepfakes be created by novice users?
Pulak Mehta, Gauri Jagatap, Kevin Gallagher +5
Recent advancements in machine learning and computer vision have led to the proliferation of Deepfakes. As technology democratizes over time, there is an increasing fear that novic…
Evaluating Synthetic Bugs
Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt +2
Fuzz testing has been used to find bugs in programs since the 1990s, but despite decades of dedicated research, there is still no consensus on which fuzzing techniques work best. O…