Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI
Authors: Mohit Kumar, Bernhard A. Moser, Lukas Fischer, Bernhard Freudenthaler | Published: 2021-06-06 | Updated: 2022-04-12
情報理論的評価
On Privacy and Confidentiality of Communications in Organizational Graphs
Authors: Masoumeh Shafieinejad, Huseyin Inan, Marcello Hasegawa, Robert Sim | Published: 2021-05-27
Privacy Amplification Via Bernoulli Sampling
Authors: Jacob Imola, Kamalika Chaudhuri | Published: 2021-05-21 | Updated: 2021-10-18
Graph Information Bottleneck
Authors: Tailin Wu, Hongyu Ren, Pan Li, Jure Leskovec | Published: 2020-10-24
On the Intrinsic Differential Privacy of Bagging
Authors: Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong | Published: 2020-08-22
Decentralized Differentially Private Segmentation with PATE
Authors: Dominik Fay, Jens Sjölund, Tobias J. Oechtering | Published: 2020-04-10
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
Authors: Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos | Published: 2019-05-29 | Updated: 2021-02-17
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Authors: Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song | Published: 2018-02-22 | Updated: 2019-07-16