1 citations · 2 across the 7 of their papers we have counts for
Showing cs.CRShow all
3 papers · 1 filter
cs.CR2026
RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse
Mingrui Liu, Sixiao Zhang, Cheng Long +1
Large Language Models (LLMs) are increasingly vulnerable to Prompt Injection (PI) attacks, where adversarial instructions hidden within retrieved contexts hijack the model's execut…
cs.CR2025
The Trojan Example: Jailbreaking LLMs through Template Filling and Unsafety Reasoning
Mingrui Liu, Sixiao Zhang, Cheng Long +1
As Large Language Models (LLMs) become integral to computing infrastructure, safety alignment serves as the primary security control preventing the generation of harmful payloads.…
cs.CR2024★ 1 cited
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
Mingrui Liu, Sixiao Zhang, Cheng Long
Retrieval-Augmented Generation (RAG) has been an effective approach to mitigate hallucinations in large language models (LLMs) by incorporating up-to-date and domain-specific knowl…