On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning
Authors: Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler | Published: 2022-05-13
Privacy Assessment
Collaborative Drug Discovery: Inference-level Data Protection Perspective
Authors: Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Acs | Published: 2022-05-13 | Updated: 2022-06-09
Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing
Authors: Yan Long, Chen Yan, Shilin Xiao, Shivan Prasad, Wenyuan Xu, Kevin Fu | Published: 2022-05-08 | Updated: 2023-01-16
Privacy accounting $\varepsilon$conomics: Improving differential privacy composition via a posteriori bounds
Authors: Valentin Hartmann, Vincent Bindschaedler, Alexander Bentkamp, Robert West | Published: 2022-05-06 | Updated: 2023-06-19
Large Scale Transfer Learning for Differentially Private Image Classification
Authors: Harsh Mehta, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky | Published: 2022-05-06 | Updated: 2022-05-20
Provably Confidential Language Modelling
Authors: Xuandong Zhao, Lei Li, Yu-Xiang Wang | Published: 2022-05-04 | Updated: 2022-06-23
What You See is What You Get: Principled Deep Learning via Distributional Generalization
Authors: Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jarosław Błasiok, Preetum Nakkiran | Published: 2022-04-07 | Updated: 2022-10-17
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning
Authors: Tiantian Feng, Raghuveer Peri, Shrikanth Narayanan | Published: 2022-04-05 | Updated: 2022-05-17
Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization
Authors: Arun Ganesh, Abhradeep Thakurta, Jalaj Upadhyay | Published: 2022-04-04 | Updated: 2023-08-28
Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning
Authors: Héber H. Arcolezi | Published: 2022-04-02