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Investigating Robustness of Adversarial Samples Detection for Automatic
  Speaker Verification

Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification

11 June 2020
Xu Li
Na Li
Jinghua Zhong
Xixin Wu
Xunying Liu
Dan Su
Dong Yu
H. Meng
    AAML
ArXivPDFHTML

Papers citing "Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification"

13 / 13 papers shown
Title
Diffusion-Based Adversarial Purification for Speaker Verification
Diffusion-Based Adversarial Purification for Speaker Verification
Yibo Bai
Xiao-Lei Zhang
Xuelong Li
DiffM
21
2
0
22 Oct 2023
An Initial Investigation of Neural Replay Simulator for Over-the-Air
  Adversarial Perturbations to Automatic Speaker Verification
An Initial Investigation of Neural Replay Simulator for Over-the-Air Adversarial Perturbations to Automatic Speaker Verification
Jiaqi Li
Li Wang
Liumeng Xue
Lei Wang
Zhizheng Wu
AAML
20
3
0
09 Oct 2023
The defender's perspective on automatic speaker verification: An
  overview
The defender's perspective on automatic speaker verification: An overview
Haibin Wu
Jiawen Kang
Lingwei Meng
H. Meng
Hung-yi Lee
AAML
24
14
0
22 May 2023
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
21
7
0
02 Nov 2022
Towards Understanding and Mitigating Audio Adversarial Examples for
  Speaker Recognition
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition
Guangke Chen
Zhe Zhao
Fu Song
Sen Chen
Lingling Fan
Feng Wang
Jiashui Wang
AAML
20
36
0
07 Jun 2022
Adversarial attacks and defenses in Speaker Recognition Systems: A
  survey
Adversarial attacks and defenses in Speaker Recognition Systems: A survey
Jiahe Lan
Rui Zhang
Zheng Yan
Jie Wang
Yu Chen
Ronghui Hou
AAML
24
23
0
27 May 2022
Spoofing-Aware Speaker Verification by Multi-Level Fusion
Spoofing-Aware Speaker Verification by Multi-Level Fusion
Haibin Wu
Lingwei Meng
Jiawen Kang
Jinchao Li
Xu Li
Xixin Wu
Hung-yi Lee
H. Meng
22
8
0
29 Mar 2022
On the Detection of Adaptive Adversarial Attacks in Speaker Verification
  Systems
On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems
Zesheng Chen
AAML
16
8
0
11 Feb 2022
Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech
  Attacks
Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks
Xu Li
Xixin Wu
Hui Lu
Xunying Liu
H. Meng
30
57
0
19 Jul 2021
Adversarial Sample Detection for Speaker Verification by Neural Vocoders
Adversarial Sample Detection for Speaker Verification by Neural Vocoders
Haibin Wu
Po-Chun Hsu
Ji Gao
Shanshan Zhang
Shen Huang
Jian Kang
Zhiyong Wu
H. Meng
Hung-yi Lee
AAML
20
20
0
01 Jul 2021
Adversarial defense for automatic speaker verification by cascaded
  self-supervised learning models
Adversarial defense for automatic speaker verification by cascaded self-supervised learning models
Haibin Wu
Xu Li
Andy T. Liu
Zhiyong Wu
H. Meng
Hung-yi Lee
AAML
29
40
0
14 Feb 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
86
52
0
06 Mar 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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