5 papers
Knowing without Acting: The Disentangled Geometry of Safety Mechanisms in Large Language Models
Jinman Wu, Yi Xie, Shen Lin +2
Safety alignment is often conceptualized as a monolithic process wherein harmfulness detection automatically triggers refusal. However, the persistence of jailbreak attacks suggest…
Depth Charge: Jailbreak Large Language Models from Deep Safety Attention Heads
Jinman Wu, Yi Xie, Shiqian Zhao +1
Currently, open-sourced large language models (OSLLMs) have demonstrated remarkable generative performance. However, as their structure and weights are made public, they are expose…
WADBERT: Dual-channel Web Attack Detection Based on BERT Models
Kangqiang Luo, Yi Xie, Shiqian Zhao +1
Web attack detection is the first line of defense for securing web applications, designed to preemptively identify malicious activities. Deep learning-based approaches are increasi…
Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models
Shiqian Zhao, Chong Wang, Yiming Li +7
Text-to-Image (T2I) models, represented by DALLE and Midjourney, have gained huge popularity for creating realistic images. The quality of these images relies on the careful…
Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers
Viet-Anh Nguyen, Shiqian Zhao, Gia Dao +3
Recently, Large Reasoning Models (LRMs) have demonstrated superior logical capabilities compared to traditional Large Language Models (LLMs), gaining significant attention. Despite…