most citedPyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System

2 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

A Systematization of Security Vulnerabilities in Computer Use Agents

Daniel Jones, Giorgio Severi, Martin Pouliot +7

Computer Use Agents (CUAs), autonomous systems that interact with software interfaces via browsers or virtual machines, are rapidly being deployed in consumer and enterprise enviro…

cs.CL2025

Jailbreak Distillation: Renewable Safety Benchmarking

Jingyu Zhang, Ahmed Elgohary, Xiawei Wang +5

Large language models (LLMs) are rapidly deployed in critical applications, raising urgent needs for robust safety benchmarking. We propose Jailbreak Distillation (JBDistill), a no…

cs.AI2025★ 2 cited

Lessons From Red Teaming 100 Generative AI Products

Blake Bullwinkel, Amanda Minnich, Shiven Chawla +23

In recent years, AI red teaming has emerged as a practice for probing the safety and security of generative AI systems. Due to the nascency of the field, there are many open questi…

cs.CR2024★ 2 cited

PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System

Gary D. Lopez Munoz, Amanda J. Minnich, Roman Lutz +17

Generative Artificial Intelligence (GenAI) is becoming ubiquitous in our daily lives. The increase in computational power and data availability has led to a proliferation of both s…

cs.CL2024★ 2 cited

Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle

Emman Haider, Daniel Perez-Becker, Thomas Portet +28

Recent innovations in language model training have demonstrated that it is possible to create highly performant models that are small enough to run on a smartphone. As these models…