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Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case
  Study on CNN-Based Lithographic Hotspot Detection

Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection

25 June 2019
Kang Liu
Haoyu Yang
Yuzhe Ma
Benjamin Tan
Bei Yu
Evangeline F. Y. Young
Ramesh Karri
S. Garg
    AAML
ArXivPDFHTML

Papers citing "Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection"

2 / 2 papers shown
Title
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
1