D-Scan

When Context Bites: Detecting RAG Poisoning via Document-Level Attention Collapse D-SCAN is an analysis framework for detecting document poisoning attacks in RAG Retrieval-Augmented Generation systems. It collects LLM internal states during generation token probabilities and attention weights,...

A Comprehensive Analysis of Adversarial Attacks against Spam Filters

Deep learning has revolutionized email filtering, which is critical to protect users from cyber threats such as spam, malware, and phishing. However, the increasing sophistication of adversarial attacks poses a significant challenge to the effectiveness of these filters. This study investigates t...