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AdvEst: Adversarial Perturbation Estimation to Classify and Detect
  Adversarial Attacks against Speaker Identification

AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification

8 April 2022
Sonal Joshi
Saurabh Kataria
Jesus Villalba
Najim Dehak
    AAML
ArXivPDFHTML

Papers citing "AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification"

5 / 5 papers shown
Title
Unraveling Adversarial Examples against Speaker Identification --
  Techniques for Attack Detection and Victim Model Classification
Unraveling Adversarial Examples against Speaker Identification -- Techniques for Attack Detection and Victim Model Classification
Sonal Joshi
Thomas Thebaud
Jesús Villalba
Najim Dehak
AAML
27
1
0
29 Feb 2024
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
Helen 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
26
7
0
02 Nov 2022
Study of Pre-processing Defenses against Adversarial Attacks on
  State-of-the-art Speaker Recognition Systems
Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems
Sonal Joshi
Jesús Villalba
Piotr Żelasko
Laureano Moro Velázquez
Najim Dehak
AAML
34
31
0
22 Jan 2021
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
81
95
0
04 Mar 2020
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