3 papers
cs.CL2026
CoLU: Confidence-Weighted Layerwise Unlearning for Large Language Models
Jingkai Guo, Ziyi Zhao, Chaitali Chakrabarti +1
Large language model (LLM) unlearning aims to forget certain information while preserving others, without retraining from scratch. SoTA methods such as NPO, SimNPO, and SatImp bala…
cs.CR2026
TFL: Targeted Bit-Flip Attack on Large Language Model
Jingkai Guo, Chaitali Chakrabarti, Deliang Fan
Large language models (LLMs) are increasingly deployed in safety and security critical applications, raising concerns about their robustness to model parameter fault injection atta…
cs.CR2025
SBFA: Single Sneaky Bit Flip Attack to Break Large Language Models
Jingkai Guo, Chaitali Chakrabarti, Deliang Fan
Model integrity of Large language models (LLMs) has become a pressing security concern with their massive online deployment. Prior Bit-Flip Attacks (BFAs) -- a class of popular AI…