v1v2v3v4 (latest)

Alleviating Privacy Attacks via Causal Learning

27 September 2019

Papers citing "Alleviating Privacy Attacks via Causal Learning"

20 / 20 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 519 1 0 28 Feb 2025
Domain Generalization using Causal Matching Divyat Mahajan Shruti Tople Amit Sharma OOD 92 337 0 12 Jun 2020
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 198 2,246 0 05 Jul 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 119 334 0 30 Jan 2019
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV AAML 61 249 0 03 Dec 2018
Auditing Data Provenance in Text-Generation Models Congzheng Song Vitaly Shmatikov MLAU 55 18 0 01 Nov 2018
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 60 474 0 16 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 111 951 0 04 Jun 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos Basel Alomair 155 1,149 0 22 Feb 2018
Fair Inference On Outcomes Razieh Nabi I. Shpitser FaML 83 354 0 29 May 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 228 1,588 0 20 Mar 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 280 4,160 0 18 Oct 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 94 1,021 0 18 Oct 2016
Learning Privately from Multiparty Data Jihun Hamm Yingjun Cao M. Belkin FedML 59 165 0 10 Feb 2016
Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences Xi Wu Matt Fredrikson Wentao Wu S. Jha Jeffrey F. Naughton 28 26 0 20 Dec 2015
Private Causal Inference Matt J. Kusner Yu Sun Karthik Sridharan Kilian Q. Weinberger CML 138 25 0 17 Dec 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 124 974 0 06 Jan 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 132 12,272 0 19 Dec 2013
Learning Bayesian Networks with the bnlearn R Package M. Scutari BDL 177 1,739 0 26 Aug 2009
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 303 801 0 19 Feb 2009