Certified Data Removal in Sum-Product Networks
Authors: Alexander Becker, Thomas Liebig | Published: 2022-10-04
プライバシー評価
No Free Lunch in “Privacy for Free: How does Dataset Condensation Help Privacy”
Authors: Nicholas Carlini, Vitaly Feldman, Milad Nasr | Published: 2022-09-29
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy
Authors: Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas Maier | Published: 2022-09-23 | Updated: 2023-07-24
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Authors: Sohaib Ahmad, Benjamin Fuller, Kaleel Mahmood | Published: 2022-09-22
You Can’t Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality
Authors: Pier Paolo Tricomi, Federica Nenna, Luca Pajola, Mauro Conti, Luciano Gamberini | Published: 2022-09-22
Bayesian Estimation of Differential Privacy
Authors: Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones | Published: 2022-06-10 | Updated: 2022-06-15
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
Authors: Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié | Published: 2022-06-10 | Updated: 2024-06-11
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning
Authors: Alberto Blanco-Justicia, David Sanchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar | Published: 2022-06-09 | Updated: 2022-07-05
Analytical Composition of Differential Privacy via the Edgeworth Accountant
Authors: Hua Wang, Sheng Gao, Huanyu Zhang, Milan Shen, Weijie J. Su | Published: 2022-06-09
Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning
Authors: Sajani Vithana, Sennur Ulukus | Published: 2022-06-07