DPack: Efficiency-Oriented Privacy Budget Scheduling
Authors: Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Junfeng Yang | Published: 2022-12-26 | Updated: 2024-10-10
プライバシー保護技術
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
Authors: Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin | Published: 2022-12-21 | Updated: 2023-04-20
Learned Systems Security
Authors: Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot | Published: 2022-12-20 | Updated: 2023-01-10
Mobile Augmented Reality with Federated Learning in the Metaverse
Authors: Xinyu Zhou, Jun Zhao | Published: 2022-12-16 | Updated: 2023-11-07
Do you pay for Privacy in Online learning?
Authors: Amartya Sanyal, Giorgia Ramponi | Published: 2022-10-10
mPSAuth: Privacy-Preserving and Scalable Authentication for Mobile Web Applications
Authors: David Monschein, Oliver P. Waldhorst | Published: 2022-10-07
Data Provenance via Differential Auditing
Authors: Xin Mu, Ming Pang, Feida Zhu | Published: 2022-09-04
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Authors: Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala | Published: 2022-09-02
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning
Authors: Hua Ma, Qun Li, Yifeng Zheng, Zhi Zhang, Xiaoning Liu, Yansong Gao, Said F. Al-Sarawi, Derek Abbott | Published: 2022-07-19
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
Authors: Sofiane Mahiou, Kai Xu, Georgi Ganev | Published: 2022-07-12