Trustworthy

We find that LLMs can get Brain Rot just like human after browsing enormous brainless social media.

A study revealing safety-specific pitfalls of multi-model synthetic preference data in DPO alignment.

The first automated guardrail for agents.

Benchmark for medical hallucination by LLMs.

A comprehensive privacy assessment of LLMs.

A comprehensive trustworthiness assessment of compressed LLMs.

A new method for safely and robustly injecting watermark after training without training data.

Tracking IP leakage in federated learning.

We uncover the security risk of data-free distillation from a poisoned teacher and propose the first countermeasure.

Increasing concerns have been raised on deep learning fairness in recent years. Existing fairness-aware machine learning methods mainly focus on the fairness of in-distribution data. However, in real-world applications, it is common to have …