2 papers
cs.CV2025
Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
Han Wang, Gang Wang, Huan Zhang
Vision Language Models (VLMs) can produce unintended and harmful content when exposed to adversarial attacks, particularly because their vision capabilities create new vulnerabilit…
cs.AI2025
The Emperor's New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination
Yifan Sun, Han Wang, Dongbai Li +2
Benchmark Data Contamination (BDC)-the inclusion of benchmark testing samples in the training set-has raised increasing concerns in Large Language Model (LLM) evaluation, leading t…