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Accelerating Robustness Verification of Deep Neural Networks Guided by
  Target Labels

Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels

16 July 2020
Wenjie Wan
Zhaodi Zhang
Yiwei Zhu
Min Zhang
Fu Song
    AAML
ArXivPDFHTML

Papers citing "Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels"

6 / 6 papers shown
Title
Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing
  Website Classifiers
Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers
Yusi Lei
Sen Chen
Lingling Fan
Fu Song
Yang Liu
AAML
33
50
0
15 Apr 2020
Taking Care of The Discretization Problem: A Comprehensive Study of the
  Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer
  Domain
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
37
18
0
19 May 2019
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
88
293
0
09 Aug 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
251
1,842
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
933
0
21 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
329
5,849
0
08 Jul 2016
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