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On the Exploitability of Audio Machine Learning Pipelines to
  Surreptitious Adversarial Examples

On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples

3 August 2021
Adelin Travers
Lorna Licollari
Guanghan Wang
Varun Chandrasekaran
Adam Dziedzic
David Lie
Nicolas Papernot
    AAML
ArXivPDFHTML

Papers citing "On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples"

4 / 4 papers shown
Title
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
38
16
0
20 Sep 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities
  in Machine Learning Systems
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
27
10
0
18 Apr 2021
Rearchitecting Classification Frameworks For Increased Robustness
Rearchitecting Classification Frameworks For Increased Robustness
Varun Chandrasekaran
Brian Tang
Nicolas Papernot
Kassem Fawaz
S. Jha
Xi Wu
AAML
OOD
29
8
0
26 May 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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