Agent Tools Orchestration Leaks More: Dataset, Benchmark, and Mitigation
Authors: Yuxuan Qiao, Dongqin Liu, Hongchang Yang, Wei Zhou, Songlin Hu | Published: 2025-12-18
Privacy-Preserving Machine Learning
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
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
FAME: FPGA Acceleration of Secure Matrix Multiplication with Homomorphic Encryption
Authors: Zhihan Xu, Rajgopal Kannan, Viktor K. Prasanna | Published: 2025-12-17
HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
Authors: Yu Hin Chan, Hao Yang, Shiyu Shen, Xingyu Fan, Shengzhe Lyu, Patrick S. Y. Hung, Ray C. C. Cheung | Published: 2025-10-23
The Tail Tells All: Estimating Model-Level Membership Inference Vulnerability Without Reference Models
Authors: Euodia Dodd, Nataša Krčo, Igor Shilov, Yves-Alexandre de Montjoye | Published: 2025-10-22
CircuitGuard: Mitigating LLM Memorization in RTL Code Generation Against IP Leakage
Authors: Nowfel Mashnoor, Mohammad Akyash, Hadi Kamali, Kimia Azar | Published: 2025-10-22
Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
Authors: Alexander Nemecek, Zebin Yun, Zahra Rahmani, Yaniv Harel, Vipin Chaudhary, Mahmood Sharif, Erman Ayday | Published: 2025-10-21
One Size Fits All? A Modular Adaptive Sanitization Kit (MASK) for Customizable Privacy-Preserving Phone Scam Detection
Authors: Kangzhong Wang, Zitong Shen, Youqian Zhang, Michael MK Cheung, Xiapu Luo, Grace Ngai, Eugene Yujun Fu | Published: 2025-10-21
Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning
Authors: Marc Damie, Florian Hahn, Andreas Peter, Jan Ramon | Published: 2025-10-16