TrustAIRLab (Trustworthy AI Research Lab) is a research lab dedicated to the trustworthy machine learning, with a focus on safety, privacy, and security. It aims to
offer high-quality libraries to reduce the difficulties in algorithm reproduction
benchmark existing attacks and defenses on machine learning models
build a solid foundation for Trustworthy AI research and development
Code for Voice Jailbreak Attacks Against GPT-4o.
A dataset consists of 6,387 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 666 jailbreak prompts).
This is the public code repository for the paper 'Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models'
[ACL2025] Official repository for "Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media"
This is the public code repository for the paper 'Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models'
[USENIX'25] HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns
[Usenix Security 2025] Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications
[Usenix Security 2025] On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts
An official public repository of the paper "ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities" (https://arxiv.org/abs/2410.06967).
Loading…
Loading…
