The first automated guardrail for agents.
Benchmark for medical hallucination by LLMs.
We examined how superficial LLM alignments are thru a linear distillation method.
A comprehensive privacy assessment of LLMs.
A comprehensive trustworthiness assessment of compressed LLMs.
We develop a chatbot for early dementia prevention and leverage LLMs to build digital twins to evaluate chatbots.
A new method for safely and robustly injecting watermark after training without training data.
We propose a new risk to published generative models that finetuning on generated samples can exacerbate the privacy leakage.
We make local LLMs to engineer privacy-preserving prompts that are transferrable for cloud models.
We propose a new metric to efficiently evaluate the privacy risks from gradient inversion and provides new insights.