Why Train More? Effective and Efficient Membership Inference via Memorization
Authors: Jihye Choi, Shruti Tople, Varun Chandrasekaran, Somesh Jha | Published: 2023-10-12
サンプル複雑性
Sample Complexity of Robust Learning against Evasion Attacks
Authors: Pascale Gourdeau | Published: 2023-08-23
The importance of feature preprocessing for differentially private linear optimization
Authors: Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon | Published: 2023-07-19 | Updated: 2024-02-19
Differentially private sliced inverse regression in the federated paradigm
Authors: Shuaida He, Jiarui Zhang, Xin Chen | Published: 2023-06-10 | Updated: 2023-08-10
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
Authors: Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis | Published: 2023-05-04 | Updated: 2024-04-16
When Does Differentially Private Learning Not Suffer in High Dimensions?
Authors: Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta | Published: 2022-07-01 | Updated: 2022-10-26
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
Authors: Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin | Published: 2022-06-14 | Updated: 2024-02-02
Differentially Private Shapley Values for Data Evaluation
Authors: Lauren Watson, Rayna Andreeva, Hao-Tsung Yang, Rik Sarkar | Published: 2022-06-01
A Fairness Analysis on Private Aggregation of Teacher Ensembles
Authors: Cuong Tran, My H. Dinh, Kyle Beiter, Ferdinando Fioretto | Published: 2021-09-17
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
Authors: Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier, Cordelia Schmid, Hervé Jégou | Published: 2019-08-29