4 papers
Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMs
Efthymios Tsaprazlis, Tiantian Feng, Anil Ramakrishna +3
Existing visual privacy benchmarks largely treat privacy as a binary property, labeling images as private or non-private based on visible sensitive content. We argue that privacy i…
Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense
Mitchell Hermon, Rahul Gupta, Weitong Ruan +2
We identify a security-fidelity tradeoff in defending LLMs against indirect prompt injection: defenses resist injected instructions largely by suppressing untrusted text, which cor…
How Catastrophic is Your LLM? Certifying Risk in Conversation
Chengxiao Wang, Isha Chaudhary, Qian Hu +3
Large Language Models (LLMs) can produce catastrophic responses in conversational settings that pose serious risks to public safety and security. Existing evaluations often fail to…
Customize Multi-modal RAI Guardrails with Precedent-based predictions
Cheng-Fu Yang, Thanh Tran, Christos Christodoulopoulos +3
A multi-modal guardrail must effectively filter image content based on user-defined policies, identifying material that may be hateful, reinforce harmful stereotypes, contain expli…