User-Level Differential Privacy against Attribute Inference Attack of
Speech Emotion Recognition in Federated Learning

v1v2 (latest)

User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning

5 April 2022

Shrikanth Narayanan

ArXiv (abs)PDF HTML Github (13★)

Papers citing "User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning"

12 / 12 papers shown

Title
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings Tiantian Feng H. Hashemi Rajat Hebbar M. Annavaram Shrikanth S. Narayanan 75 26 0 26 Dec 2021
Towards General Deep Leakage in Federated Learning Jiahui Geng Yongli Mou Feifei Li Qing Li Oya Beyan Stefan Decker Chunming Rong FedML 54 58 0 18 Oct 2021
SUPERB: Speech processing Universal PERformance Benchmark Shu-Wen Yang Po-Han Chi Yung-Sung Chuang Cheng-I Jeff Lai Kushal Lakhotia ... Shuyan Dong Shang-Wen Li Shinji Watanabe Abdel-rahman Mohamed Hung-yi Lee SSL 108 942 0 03 May 2021
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 127 1,624 0 01 Nov 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 100 2,225 0 21 Jun 2019
An Unsupervised Autoregressive Model for Speech Representation Learning Yu-An Chung Wei-Ning Hsu Hao Tang James R. Glass SSL 84 409 0 05 Apr 2019
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Peng Kuang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi FedML 86 786 0 03 Dec 2018
Attention Based Fully Convolutional Network for Speech Emotion Recognition Yuanyuan Zhang Jun Du Zirui Wang Jianshu Zhang 75 128 0 05 Jun 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 157 1,481 0 10 May 2018
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 272 4,159 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 6,162 0 01 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,593 0 17 Feb 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.