Preserving Privacy in Personalized Models for Distributed Mobile
Services

v1v2 (latest)

Preserving Privacy in Personalized Models for Distributed Mobile Services

14 January 2021

Prashant J. Shenoy

David D. Jensen

ArXiv (abs)PDF HTML

Papers citing "Preserving Privacy in Personalized Models for Distributed Mobile Services"

8 / 8 papers shown

Title
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks Yuheng Zhang R. Jia Hengzhi Pei Wenxiao Wang Yue Liu Basel Alomair AAML 113 419 0 17 Nov 2019
A Survey on Deep Transfer Learning Chuanqi Tan F. Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu 66 2,591 0 06 Aug 2018
Privacy-preserving Machine Learning through Data Obfuscation Tianwei Zhang Zecheng He R. Lee 67 80 0 05 Jul 2018
Generating Artificial Data for Private Deep Learning Aleksei Triastcyn Boi Faltings 55 48 0 08 Mar 2018
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision Hanyuan Zhang Hao-qing Wu Weiwei Sun Baihua Zheng AI4TS 65 143 0 06 Feb 2018
Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy Ognjen Rudovic Jaeryoung Lee Miles Dai Bjorn Schuller Rosalind W. Picard 62 271 0 04 Feb 2018
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 261 4,135 0 18 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,130 0 01 Jul 2016