Learning with Differentially Private (Sliced) Wasserstein Gradients

3 February 2025

Papers citing "Learning with Differentially Private (Sliced) Wasserstein Gradients"

10 / 60 papers shown

Title
Finite Sample Differentially Private Confidence Intervals Vishesh Karwa Salil P. Vadhan 55 193 0 10 Nov 2017
Wasserstein Auto-Encoders Ilya O. Tolstikhin Olivier Bousquet Sylvain Gelly B. Schölkopf DRL 113 1,055 0 05 Nov 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016
Efficient Per-Example Gradient Computations Ian Goodfellow 236 75 0 07 Oct 2015
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 122 1,119 0 02 Jul 2015
Privacy and Statistical Risk: Formalisms and Minimax Bounds Rina Foygel Barber John C. Duchi PILM 65 92 0 15 Dec 2014
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 181 1,984 0 11 Dec 2014
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 92 1,987 0 25 Jul 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 192 4,251 0 04 Jun 2013
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 100 485 0 16 Nov 2008