Attribute Inference Attack of Speech Emotion Recognition in Federated
Learning Settings

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings

26 December 2021

Shrikanth S. Narayanan

Papers citing "Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings"

15 / 15 papers shown

Title
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 198 1 0 19 Nov 2024
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition Chao Tan Sheng Li Yang Cao Zhao Ren Tanja Schultz 40 0 0 17 Oct 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 38 1 0 29 Aug 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 52 2 0 04 Jun 2024
Partial Federated Learning Tiantian Feng Anil Ramakrishna Jimit Majmudar Charith Peris Jixuan Wang Clement Chung Richard Zemel Morteza Ziyadi Rahul Gupta 44 1 0 03 Mar 2024
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 22 1 0 06 Nov 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 32 48 0 15 Jun 2023
Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content Tiantian Feng Digbalay Bose Xuan Shi Shrikanth Narayanan 31 1 0 13 Jun 2023
Privacy in Speech Technology Tomas Bäckström 24 4 0 09 May 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 28 4 0 11 Apr 2023
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 43 31 0 18 Dec 2022
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems H. Hashemi Wenjie Xiong Liu Ke Kiwan Maeng M. Annavaram G. E. Suh Hsien-Hsin S. Lee 32 6 0 12 Dec 2022
Decoupled Federated Learning for ASR with Non-IID Data Hanjing Zhu Jindong Wang Gaofeng Cheng Pengyuan Zhang Yonghong Yan 28 10 0 18 Jun 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Tiantian Feng Raghuveer Peri Shrikanth Narayanan FedML 20 28 0 05 Apr 2022
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling Tiantian Feng Shrikanth Narayanan 38 17 0 15 Mar 2022