works on

From the 1 of 5 linked papers with an AI index.

activity
20242026
collaborators

5 papers

cs.CR2026

GPT-Red: Automated Red Teaming via Self-Play at Scale

Eric Wallace, Christopher A. Choquette-Choo, Nikhil Kandpal +15

The paper presents GPT-Red, an automated red‑teaming system that uses self‑play to generate novel prompt‑injection attacks against large language models and improve their robustnes…

cs.CR2026

ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?

Zhun Wang, Nico Schiller, Hongwei Li +13

AI agents are rapidly gaining capabilities that could significantly reshape cybersecurity, making rigorous evaluation urgent. A critical capability is exploitation: turning a vulne…

cs.SD2025

The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege

Luxi He, Xiangyu Qi, Michel Liao +4

The latest Audio Language Models (Audio LMs) process speech directly instead of relying on a separate transcription step. This shift preserves detailed information, such as intonat…

cs.AI2025

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal

Tinghao Xie, Xiangyu Qi, Yi Zeng +13

Evaluating aligned large language models' (LLMs) ability to recognize and reject unsafe user requests is crucial for safe, policy-compliant deployments. Existing evaluation efforts…

cs.CR2024

On Evaluating the Durability of Safeguards for Open-Weight LLMs

Xiangyu Qi, Boyi Wei, Nicholas Carlini +7

Stakeholders -- from model developers to policymakers -- seek to minimize the dual-use risks of large language models (LLMs). An open challenge to this goal is whether technical sa…