Regulation Games for Trustworthy Machine Learning

5 February 2024

Papers citing "Regulation Games for Trustworthy Machine Learning"

10 / 10 papers shown

Title
On the Privacy Risks of Algorithmic Fairness Hong Chang Reza Shokri FaML 168 111 0 07 Nov 2020
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach Cuong Tran Ferdinando Fioretto Pascal Van Hentenryck FedML 54 81 0 26 Sep 2020
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy Tom Farrand Fatemehsadat Mireshghallah Sahib Singh Andrew Trask FedML 37 92 0 10 Sep 2020
Fair Learning with Private Demographic Data Hussein Mozannar Mesrob I. Ohannessian Nathan Srebro 49 76 0 26 Feb 2020
Differential Privacy Has Disparate Impact on Model Accuracy Eugene Bagdasaryan Vitaly Shmatikov 142 479 0 28 May 2019
Automatic Discovery of Privacy-Utility Pareto Fronts Brendan Avent Javier I. González Tom Diethe Andrei Paleyes Borja Balle FedML 44 28 0 26 May 2019
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems Richard J. Tomsett Dave Braines Daniel Harborne Alun D. Preece Supriyo Chakraborty FaML 113 166 0 20 Jun 2018
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 62 1,112 0 27 Feb 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 196 6,113 0 01 Jul 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 266 14,912 1 21 Dec 2013