Alleviating Privacy Attacks via Causal Learning

27 September 2019

Papers citing "Alleviating Privacy Attacks via Causal Learning"

8 / 8 papers shown

Title
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 113 0 0 28 Feb 2025
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 34 18 0 18 Sep 2022
Distribution inference risks: Identifying and mitigating sources of leakage Valentin Hartmann Léo Meynent Maxime Peyrard Dimitrios Dimitriadis Shruti Tople Robert West MIACV 16 14 0 18 Sep 2022
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia M. Tomizuka Wei Zhan OOD 27 25 0 03 Dec 2021
The Connection between Out-of-Distribution Generalization and Privacy of ML Models Divyat Mahajan Shruti Tople Amit Sharma OOD 8 7 0 07 Oct 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 28 412 0 14 Mar 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making Md. Naimul Hoque Klaus Mueller CML 46 30 0 03 Jan 2021
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 788 0 19 Feb 2009