Privacy-Preserving Machine Learning

SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards

Authors: João Vitorino, Eva Maia, Isabel Praça, Carlos Soares | Published: 2025-09-30
Privacy-Preserving Machine Learning
Adversarial Learning
Interpretability

Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs

Authors: Marcin Chrapek, Marcin Copik, Etienne Mettaz, Torsten Hoefler | Published: 2025-09-23
Cost Efficiency
Privacy-Preserving Machine Learning
Model Extraction Attack

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
Privacy-Preserving Machine Learning
Privacy Loss Analysis
倫理基準遵守

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
Data Generation
Privacy-Preserving Machine Learning
Membership Inference

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
Client Contribution Assessment
Privacy-Preserving Machine Learning
Malicious Client

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
Privacy-Preserving Machine Learning
Membership Inference
Statistical Testing

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
Trigger Detection
Privacy-Preserving Machine Learning
Differential Privacy

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
Privacy-Preserving Machine Learning
Feature Engineering
Secret Distributed Computation

Efficient Deep Learning on Multi-Source Private Data

Authors: Nick Hynes, Raymond Cheng, Dawn Song | Published: 2018-07-17
Privacy-Preserving Machine Learning
Differential Privacy
Deep Learning

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
Privacy-Preserving Machine Learning
Poisoning
User Behavior Analysis