5 citations · 8 across the 3 of their papers we have counts for
4 papers
Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models?
Mohammad Bahrami Karkevandi, Nishant Vishwamitra, Peyman Najafirad
Large Language Models (LLMs) have demonstrated impressive capabilities in natural language tasks, but their safety and morality remain contentious due to their training on internet…
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
Nafis Tanveer Islam, Joseph Khoury, Andrew Seong +4
In software development, the predominant emphasis on functionality often supersedes security concerns, a trend gaining momentum with AI-driven automation tools like GitHub Copilot.…
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
Nafis Tanveer Islam, Mohammad Bahrami Karkevandi, Peyman Najafirad
With the recent advancement of Large Language Models (LLMs), generating functionally correct code has become less complicated for a wide array of developers. While using LLMs has s…
Lateral Phishing With Large Language Models: A Large Organization Comparative Study
Mazal Bethany, Athanasios Galiopoulos, Emet Bethany +4
The emergence of Large Language Models (LLMs) has heightened the threat of phishing emails by enabling the generation of highly targeted, personalized, and automated attacks. Tradi…