2 papers
cs.LG2024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
Andy Zhou, Bo Li, Haohan Wang
Despite advances in AI alignment, large language models (LLMs) remain vulnerable to adversarial attacks or jailbreaking, in which adversaries can modify prompts to induce unwanted…
cs.CR2024
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
Andy Zhou, Xiaojun Xu, Ramesh Raghunathan +4
Graph-based anomaly detection is pivotal in diverse security applications, such as fraud detection in transaction networks and intrusion detection for network traffic. Standard app…