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

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

5 April 2022

Shrikanth Narayanan

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

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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 59 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 129 1,624 0 01 Nov 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 100 2,227 0 21 Jun 2019
An Unsupervised Autoregressive Model for Speech Representation Learning Yu-An Chung Wei-Ning Hsu Hao Tang James R. Glass SSL 89 409 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 1,482 0 10 May 2018
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 278 4,160 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