In-Context Probing for Membership Inference in Fine-Tuned Language Models
Authors: Zhexi Lu, Hongliang Chi, Nathalie Baracaldo, Swanand Ravindra Kadhe, Yuseok Jeon, Lei Yu | Published: 2025-12-18
Prompt leaking
ContextLeak: Auditing Leakage in Private In-Context Learning Methods
Authors: Jacob Choi, Shuying Cao, Xingjian Dong, Wang Bill Zhu, Robin Jia, Sai Praneeth Karimireddy | Published: 2025-12-18
PerProb: Indirectly Evaluating Memorization in Large Language Models
Authors: Yihan Liao, Jacky Keung, Xiaoxue Ma, Jingyu Zhang, Yicheng Sun | Published: 2025-12-16
On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models
Authors: Ali Al Sahili, Ali Chehab, Razane Tajeddine | Published: 2025-12-15
CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs
Authors: Shashie Dilhara Batan Arachchige, Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Dinusha Vatsalan, Dali Kaafar | Published: 2025-12-15
Chasing Shadows: Pitfalls in LLM Security Research
Authors: Jonathan Evertz, Niklas Risse, Nicolai Neuer, Andreas Müller, Philipp Normann, Gaetano Sapia, Srishti Gupta, David Pape, Soumya Shaw, Devansh Srivastav, Christian Wressnegger, Erwin Quiring, Thorsten Eisenhofer, Daniel Arp, Lea Schönherr | Published: 2025-12-10
In-Context Representation Hijacking
Authors: Itay Yona, Amir Sarid, Michael Karasik, Yossi Gandelsman | Published: 2025-12-03
CryptoQA: A Large-scale Question-answering Dataset for AI-assisted Cryptography
Authors: Mayar Elfares, Pascal Reisert, Tilman Dietz, Manpa Barman, Ahmed Zaki, Ralf Küsters, Andreas Bulling | Published: 2025-12-02
COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers
Authors: Junyu Wang, Changjia Zhu, Yuanbo Zhou, Lingyao Li, Xu He, Junjie Xiong | Published: 2025-12-02
LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models
Authors: Muhammad Usman Shahid, Chuadhry Mujeeb Ahmed, Rajiv Ranjan | Published: 2025-11-24