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A Review of Speech-centric Trustworthy Machine Learning: Privacy,
  Safety, and Fairness

A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness

18 December 2022
Tiantian Feng
Rajat Hebbar
Nicholas Mehlman
Xuan Shi
Aditya Kommineni
and Shrikanth Narayanan
ArXivPDFHTML

Papers citing "A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness"

10 / 10 papers shown
Title
FedMultimodal: A Benchmark For Multimodal Federated Learning
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
24
48
0
15 Jun 2023
The VoicePrivacy 2020 Challenge Evaluation Plan
The VoicePrivacy 2020 Challenge Evaluation Plan
N. Tomashenko
B. M. L. Srivastava
Xin Wang
Emmanuel Vincent
A. Nautsch
...
Nicholas W. D. Evans
J. Patino
J. Bonastre
Paul-Gauthier Noé
Massimiliano Todisco
19
42
0
14 May 2022
Adversarial Attacks on Speech Recognition Systems for Mission-Critical
  Applications: A Survey
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey
Ngoc Dung Huynh
Mohamed Reda Bouadjenek
Imran Razzak
Kevin Lee
Chetan Arora
Ali Hassani
A. Zaslavsky
AAML
18
6
0
22 Feb 2022
Membership Inference Attacks Against Self-supervised Speech Models
Membership Inference Attacks Against Self-supervised Speech Models
Wei-Cheng Tseng
Wei-Tsung Kao
Hung-yi Lee
30
14
0
09 Nov 2021
Federated Learning in ASR: Not as Easy as You Think
Federated Learning in ASR: Not as Easy as You Think
Wentao Yu
J. Freiwald
Soren Tewes
F. Huennemeyer
D. Kolossa
FedML
24
17
0
30 Sep 2021
Model-Based Approach for Measuring the Fairness in ASR
Model-Based Approach for Measuring the Fairness in ASR
Zhe Liu
Irina-Elena Veliche
Fuchun Peng
39
22
0
19 Sep 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
96
193
0
12 Jul 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
203
501
0
15 Jan 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
214
2,224
0
14 Jun 2018
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