Detecting Training Data of Large Language Models via Expectation Maximization
Authors: Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, Jie Ma, Miguel Ballesteros, William Yang Wang | Published: 2024-10-10
LLM性能評価
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?
Authors: Di Cao, Yong Liao, Xiuwei Shang | Published: 2024-10-10
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
Authors: Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou | Published: 2024-10-09
Signal Watermark on Large Language Models
Authors: Zhenyu Xu, Victor S. Sheng | Published: 2024-10-09
Superficial Safety Alignment Hypothesis
Authors: Jianwei Li, Jung-Eun Kim | Published: 2024-10-07
DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech
Authors: Dominika Woszczyk, Soteris Demetriou | Published: 2024-10-05
A Watermark for Black-Box Language Models
Authors: Dara Bahri, John Wieting, Dana Alon, Donald Metzler | Published: 2024-10-02
PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach
Authors: Zhihao Lin, Wei Ma, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Yang Liu, Jun Wang, Li Li | Published: 2024-09-21 | Updated: 2024-10-03
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification
Authors: Zeqing Qin, Yiwei Wu, Lansheng Han | Published: 2024-09-11
DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models
Authors: Zhenyu Yin, Shang Liu, Guangyuan Xu | Published: 2024-09-11 | Updated: 2025-01-13