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Invert and Defend: Model-based Approximate Inversion of Generative
  Adversarial Networks for Secure Inference

Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference

23 November 2019
Wei-An Lin
Yogesh Balaji
Pouya Samangouei
Rama Chellappa
ArXivPDFHTML

Papers citing "Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference"

4 / 4 papers shown
Title
SoK: How Robust is Image Classification Deep Neural Network
  Watermarking? (Extended Version)
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
Nils Lukas
Edward Jiang
Xinda Li
Florian Kerschbaum
AAML
28
86
0
11 Aug 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
267
10,348
0
12 Dec 2018
Inverting The Generator Of A Generative Adversarial Network
Inverting The Generator Of A Generative Adversarial Network
Antonia Creswell
Anil Anthony Bharath
GAN
171
338
0
17 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
275
5,833
0
08 Jul 2016
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