Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting

23 November 2018

Papers citing "Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting"

5 / 5 papers shown

Title
A Berkeley View of Systems Challenges for AI Ion Stoica D. Song Raluca A. Popa D. Patterson Michael W. Mahoney ... Joseph E. Gonzalez Ken Goldberg A. Ghodsi David Culler Pieter Abbeel 57 200 0 15 Dec 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 107 1,385 0 24 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 216 4,075 0 18 Oct 2016
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 99 1,580 0 27 Jun 2012
emcee: The MCMC Hammer D. Foreman-Mackey D. Hogg D. Lang J. Goodman 82 8,462 0 16 Feb 2012