Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs
Authors: Marcin Chrapek, Marcin Copik, Etienne Mettaz, Torsten Hoefler | Published: 2025-09-23
プライバシー保護機械学習
Rethinking Exact Unlearning under Exposure: Extracting Forgotten Data under Exact Unlearning in Large Language Model
Authors: Xiaoyu Wu, Yifei Pang, Terrance Liu, Zhiwei Steven Wu | Published: 2025-05-30 | Updated: 2025-10-06
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
Authors: Elisabeth Griesbauer, Claudia Czado, Arnoldo Frigessi, Ingrid Hobæk Haff | Published: 2025-03-20
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm
Authors: Yuxin Jin, Taotao Wang, Qing Yang, Long Shi, Shengli Zhang | Published: 2025-03-18 | Updated: 2025-03-24
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
Authors: Marlon Tobaben, Hibiki Ito, Joonas Jälkö, Yuan He, Antti Honkela | Published: 2024-02-07 | Updated: 2025-10-06
MOBIUS: Model-Oblivious Binarized Neural Networks
Authors: Hiromasa Kitai, Jason Paul Cruz, Naoto Yanai, Naohisa Nishida, Tatsumi Oba, Yuji Unagami, Tadanori Teruya, Nuttapong Attrapadung, Takahiro Matsuda, Goichiro Hanaoka | Published: 2018-11-29
VirtualIdentity: Privacy-Preserving User Profiling
Authors: Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Rafael Dowsley, Anderson C. A. Nascimento, Martine De Cock | Published: 2018-08-30
Efficient Deep Learning on Multi-Source Private Data
Authors: Nick Hynes, Raymond Cheng, Dawn Song | Published: 2018-07-17
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
Authors: Tribhuvanesh Orekondy, Seong Joon Oh, Yang Zhang, Bernt Schiele, Mario Fritz | Published: 2018-05-15 | Updated: 2020-09-13
Stealing Hyperparameters in Machine Learning
Authors: Binghui Wang, Neil Zhenqiang Gong | Published: 2018-02-14 | Updated: 2019-09-07