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Generating Semantic Adversarial Examples via Feature Manipulation

Generating Semantic Adversarial Examples via Feature Manipulation

6 January 2020
Shuo Wang
Surya Nepal
Carsten Rudolph
M. Grobler
Shangyu Chen
Tianle Chen
    AAML
ArXivPDFHTML

Papers citing "Generating Semantic Adversarial Examples via Feature Manipulation"

4 / 4 papers shown
Title
Robust Feature-Level Adversaries are Interpretability Tools
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper
Max Nadeau
Dylan Hadfield-Menell
Gabriel Kreiman
AAML
48
27
0
07 Oct 2021
Exposing Previously Undetectable Faults in Deep Neural Networks
Exposing Previously Undetectable Faults in Deep Neural Networks
Isaac Dunn
Hadrien Pouget
Daniel Kroening
T. Melham
AAML
26
28
0
01 Jun 2021
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
36
17
0
27 May 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
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