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Analyzing and Improving Neural Networks by Generating Semantic
  Counterexamples through Differentiable Rendering

Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering

2 October 2019
Lakshya Jain
Varun Chandrasekaran
Uyeong Jang
Wilson Wu
Andrew Lee
Andy Yan
Steven Chen
S. Jha
S. Seshia
    AAML
ArXivPDFHTML

Papers citing "Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering"

3 / 3 papers shown
Title
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
Semantic Adversarial Deep Learning
Semantic Adversarial Deep Learning
S. Seshia
S. Jha
T. Dreossi
AAML
SILM
27
90
0
19 Apr 2018
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
1