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1811.00866
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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
Dinghuai Zhang
Mao Ye
Chengyue Gong
Zhanxing Zhu
Qiang Liu
AAML
24
62
0
21 Feb 2020
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
Lin Chen
Yifei Min
Mingrui Zhang
Amin Karbasi
OOD
38
64
0
11 Feb 2020
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
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
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
Huan Zhang
Minhao Cheng
Cho-Jui Hsieh
33
9
0
31 Oct 2019
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
Min Wu
Marta Z. Kwiatkowska
AAML
19
22
0
28 Jun 2019
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
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
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
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
Maksym Andriushchenko
Matthias Hein
28
61
0
08 Jun 2019
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
Matt Jordan
Justin Lewis
A. Dimakis
AAML
27
57
0
20 Mar 2019
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
Chen Liu
Ryota Tomioka
V. Cevher
AAML
47
19
0
15 Mar 2019
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
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
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
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
Marius Mosbach
Maksym Andriushchenko
T. A. Trost
Matthias Hein
Dietrich Klakow
AAML
33
82
0
29 Oct 2018
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
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
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
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
335
5,849
0
08 Jul 2016
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