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Efficient Neural Network Robustness Certification with General
  Activation Functions

Efficient Neural Network Robustness Certification with General Activation Functions

2 November 2018
Huan Zhang
Tsui-Wei Weng
Pin-Yu Chen
Cho-Jui Hsieh
Luca Daniel
    AAML
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Papers citing "Efficient Neural Network Robustness Certification with General Activation Functions"

27 / 177 papers shown
Title
Black-Box Certification with Randomized Smoothing: A Functional
  Optimization Based Framework
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
Dinghuai Zhang
Mao Ye
Chengyue Gong
Zhanxing Zhu
Qiang Liu
AAML
24
62
0
21 Feb 2020
Robustness Verification for Transformers
Robustness Verification for Transformers
Zhouxing Shi
Huan Zhang
Kai-Wei Chang
Minlie Huang
Cho-Jui Hsieh
AAML
27
105
0
16 Feb 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust
  and Standard Models
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen
Yifei Min
Mingrui Zhang
Amin Karbasi
OOD
38
64
0
11 Feb 2020
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks
Tong Chen
J. Lasserre
Victor Magron
Edouard Pauwels
36
3
0
10 Feb 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified
  Radius
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
Runtian Zhai
Chen Dan
Di He
Huan Zhang
Boqing Gong
Pradeep Ravikumar
Cho-Jui Hsieh
Liwei Wang
OOD
AAML
27
177
0
08 Jan 2020
Fastened CROWN: Tightened Neural Network Robustness Certificates
Fastened CROWN: Tightened Neural Network Robustness Certificates
Zhaoyang Lyu
Ching-Yun Ko
Zhifeng Kong
Ngai Wong
Dahua Lin
Luca Daniel
43
67
0
02 Dec 2019
Enhancing Certifiable Robustness via a Deep Model Ensemble
Enhancing Certifiable Robustness via a Deep Model Ensemble
Huan Zhang
Minhao Cheng
Cho-Jui Hsieh
33
9
0
31 Oct 2019
ART: Abstraction Refinement-Guided Training for Provably Correct Neural
  Networks
ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks
Xuankang Lin
He Zhu
R. Samanta
Suresh Jagannathan
AAML
27
28
0
17 Jul 2019
Robustness Guarantees for Deep Neural Networks on Videos
Robustness Guarantees for Deep Neural Networks on Videos
Min Wu
Marta Z. Kwiatkowska
AAML
19
22
0
28 Jun 2019
Towards Stable and Efficient Training of Verifiably Robust Neural
  Networks
Towards Stable and Efficient Training of Verifiably Robust Neural Networks
Huan Zhang
Hongge Chen
Chaowei Xiao
Sven Gowal
Robert Stanforth
Bo-wen Li
Duane S. Boning
Cho-Jui Hsieh
AAML
17
344
0
14 Jun 2019
Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual
  Perspective
Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective
Lu Wang
Xuanqing Liu
Jinfeng Yi
Zhi-Hua Zhou
Cho-Jui Hsieh
AAML
31
22
0
10 Jun 2019
Robustness Verification of Tree-based Models
Robustness Verification of Tree-based Models
Hongge Chen
Huan Zhang
Si Si
Yang Li
Duane S. Boning
Cho-Jui Hsieh
AAML
22
76
0
10 Jun 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed
  Classifiers
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman
Greg Yang
Jungshian Li
Pengchuan Zhang
Huan Zhang
Ilya P. Razenshteyn
Sébastien Bubeck
AAML
45
538
0
09 Jun 2019
Provably Robust Boosted Decision Stumps and Trees against Adversarial
  Attacks
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks
Maksym Andriushchenko
Matthias Hein
28
61
0
08 Jun 2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks
POPQORN: Quantifying Robustness of Recurrent Neural Networks
Ching-Yun Ko
Zhaoyang Lyu
Tsui-Wei Weng
Luca Daniel
Ngai Wong
Dahua Lin
AAML
17
75
0
17 May 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the
  Union of Polytopes
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
Matt Jordan
Justin Lewis
A. Dimakis
AAML
27
57
0
20 Mar 2019
Algorithms for Verifying Deep Neural Networks
Algorithms for Verifying Deep Neural Networks
Changliu Liu
Tomer Arnon
Christopher Lazarus
Christopher A. Strong
Clark W. Barrett
Mykel J. Kochenderfer
AAML
36
394
0
15 Mar 2019
On Certifying Non-uniform Bound against Adversarial Attacks
On Certifying Non-uniform Bound against Adversarial Attacks
Chen Liu
Ryota Tomioka
V. Cevher
AAML
47
19
0
15 Mar 2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural
  Networks
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Hadi Salman
Greg Yang
Huan Zhang
Cho-Jui Hsieh
Pengchuan Zhang
AAML
52
263
0
23 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
22
1,998
0
08 Feb 2019
The Limitations of Adversarial Training and the Blind-Spot Attack
The Limitations of Adversarial Training and the Blind-Spot Attack
Huan Zhang
Hongge Chen
Zhao Song
Duane S. Boning
Inderjit S. Dhillon
Cho-Jui Hsieh
AAML
22
144
0
15 Jan 2019
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic
  Approach
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
Tsui-Wei Weng
Pin-Yu Chen
Lam M. Nguyen
M. Squillante
Ivan Oseledets
Luca Daniel
AAML
21
30
0
18 Dec 2018
Logit Pairing Methods Can Fool Gradient-Based Attacks
Logit Pairing Methods Can Fool Gradient-Based Attacks
Marius Mosbach
Maksym Andriushchenko
T. A. Trost
Matthias Hein
Dietrich Klakow
AAML
33
82
0
29 Oct 2018
Certified Adversarial Robustness with Additive Noise
Certified Adversarial Robustness with Additive Noise
Bai Li
Changyou Chen
Wenlin Wang
Lawrence Carin
AAML
28
341
0
10 Sep 2018
A Game-Based Approximate Verification of Deep Neural Networks with
  Provable Guarantees
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees
Min Wu
Matthew Wicker
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
AAML
24
111
0
10 Jul 2018
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
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
335
5,849
0
08 Jul 2016
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