6 citations · 19 across the 14 of their papers we have counts for
4 papers · 1 filter
Certifiably Robust RAG against Retrieval Corruption
Chong Xiang, Tong Wu, Zexuan Zhong +3
Retrieval-augmented generation (RAG) is susceptible to retrieval corruption attacks, where malicious passages injected into retrieval results can lead to inaccurate model responses…
PAL: Proxy-Guided Black-Box Attack on Large Language Models
Chawin Sitawarin, Norman Mu, David Wagner +1
Large Language Models (LLMs) have surged in popularity in recent months, but they have demonstrated concerning capabilities to generate harmful content when manipulated. While tech…
StruQ: Defending Against Prompt Injection with Structured Queries
Sizhe Chen, Julien Piet, Chawin Sitawarin +1
Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications, which perform text-based tasks by utilizing their advanced language understanding capab…
Jatmo: Prompt Injection Defense by Task-Specific Finetuning
Julien Piet, Maha Alrashed, Chawin Sitawarin +5
Large Language Models (LLMs) are attracting significant research attention due to their instruction-following abilities, allowing users and developers to leverage LLMs for a variet…