Preserving Privacy in Personalized Models for Distributed Mobile
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Preserving Privacy in Personalized Models for Distributed Mobile Services

14 January 2021

Prashant J. Shenoy

David D. Jensen

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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 263 4,152 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

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