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Adversarial attacks and defenses in Speaker Recognition Systems: A
  survey

Adversarial attacks and defenses in Speaker Recognition Systems: A survey

27 May 2022
Jiahe Lan
Rui Zhang
Zheng Yan
Jie Wang
Yu Chen
Ronghui Hou
    AAML
ArXivPDFHTML

Papers citing "Adversarial attacks and defenses in Speaker Recognition Systems: A survey"

5 / 5 papers shown
Title
LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker
  Verification
LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification
Xingqi Chen
Jie Wang
Xiaoli Zhang
Weiqiang Zhang
Kunde Yang
AAML
8
7
0
02 Nov 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of
  the State-of-the-Art
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
Xiang Ling
Lingfei Wu
Jiangyu Zhang
Zhenqing Qu
Wei Deng
...
Chunming Wu
S. Ji
Tianyue Luo
Jingzheng Wu
Yanjun Wu
AAML
26
72
0
23 Dec 2021
Defense against adversarial attacks on spoofing countermeasures of ASV
Defense against adversarial attacks on spoofing countermeasures of ASV
Haibin Wu
Songxiang Liu
H. Meng
Hung-yi Lee
AAML
82
52
0
06 Mar 2020
Real-time, Universal, and Robust Adversarial Attacks Against Speaker
  Recognition Systems
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems
Yi Xie
Cong Shi
Zhuohang Li
Jian-Dong Liu
Yingying Chen
Bo Yuan
AAML
71
95
0
04 Mar 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
1