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Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks

Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks

3 May 2017
Rüdiger Ehlers
ArXivPDFHTML

Papers citing "Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks"

11 / 161 papers shown
Title
Efficient Neural Network Robustness Certification with General
  Activation Functions
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang
Tsui-Wei Weng
Pin-Yu Chen
Cho-Jui Hsieh
Luca Daniel
AAML
28
749
0
02 Nov 2018
Empirical Bounds on Linear Regions of Deep Rectifier Networks
Empirical Bounds on Linear Regions of Deep Rectifier Networks
Thiago Serra
Srikumar Ramalingam
10
42
0
08 Oct 2018
Training for Faster Adversarial Robustness Verification via Inducing
  ReLU Stability
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Kai Y. Xiao
Vincent Tjeng
Nur Muhammad (Mahi) Shafiullah
Aleksander Madry
AAML
OOD
12
199
0
09 Sep 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals
Formal Security Analysis of Neural Networks using Symbolic Intervals
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
34
474
0
28 Apr 2018
Towards Fast Computation of Certified Robustness for ReLU Networks
Towards Fast Computation of Certified Robustness for ReLU Networks
Tsui-Wei Weng
Huan Zhang
Hongge Chen
Zhao Song
Cho-Jui Hsieh
Duane S. Boning
Inderjit S. Dhillon
Luca Daniel
AAML
50
687
0
25 Apr 2018
Reasoning about Safety of Learning-Enabled Components in Autonomous
  Cyber-physical Systems
Reasoning about Safety of Learning-Enabled Components in Autonomous Cyber-physical Systems
Cumhur Erkan Tuncali
J. Kapinski
Hisahiro Ito
Jyotirmoy V. Deshmukh
23
42
0
11 Apr 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory
  Approach
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng
Huan Zhang
Pin-Yu Chen
Jinfeng Yi
D. Su
Yupeng Gao
Cho-Jui Hsieh
Luca Daniel
AAML
25
464
0
31 Jan 2018
A Unified View of Piecewise Linear Neural Network Verification
A Unified View of Piecewise Linear Neural Network Verification
Rudy Bunel
Ilker Turkaslan
Philip Torr
Pushmeet Kohli
M. P. Kumar
AAML
31
73
0
01 Nov 2017
Provably Minimally-Distorted Adversarial Examples
Provably Minimally-Distorted Adversarial Examples
Nicholas Carlini
Guy Katz
Clark W. Barrett
D. Dill
AAML
35
89
0
29 Sep 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
1,843
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
932
0
21 Oct 2016
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