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Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on
  Automatic Speech Recognition Systems

Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems

10 March 2022
H. Abdullah
Aditya Karlekar
S. Prasad
Muhammad Sajidur Rahman
Logan Blue
L. A. Bauer
Vincent Bindschaedler
Patrick Traynor
    AAML
ArXivPDFHTML

Papers citing "Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems"

4 / 4 papers shown
Title
Compensating Removed Frequency Components: Thwarting Voice Spectrum
  Reduction Attacks
Compensating Removed Frequency Components: Thwarting Voice Spectrum Reduction Attacks
Shu Wang
Kun Sun
Qi Li
AAML
20
0
0
18 Aug 2023
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples
  on Self-Supervised Speech Recognition models
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models
R. Olivier
H. Abdullah
Bhiksha Raj
AAML
19
1
0
17 Sep 2022
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
174
302
0
21 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
1