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Traversing the Local Polytopes of ReLU Neural Networks: A Unified
  Approach for Network Verification

Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification

17 November 2021
Shaojie Xu
J. Vaughan
Jie Chen
Aijun Zhang
Agus Sudjianto
    AAML
ArXivPDFHTML

Papers citing "Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification"

16 / 16 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
129
37
0
29 Apr 2023
Self-interpretable Convolutional Neural Networks for Text Classification
Self-interpretable Convolutional Neural Networks for Text Classification
Wei Zhao
Rahul Singh
Tarun Joshi
Agus Sudjianto
V. Nair
FAtt
MILM
51
6
0
18 May 2021
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Boris Hanin
David Rolnick
78
226
0
03 Jun 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
86
399
0
15 Mar 2019
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU
  Networks
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Difan Zou
Yuan Cao
Dongruo Zhou
Quanquan Gu
ODL
178
448
0
21 Nov 2018
Strong mixed-integer programming formulations for trained neural
  networks
Strong mixed-integer programming formulations for trained neural networks
Ross Anderson
Joey Huchette
Christian Tjandraatmadja
J. Vielma
137
257
0
20 Nov 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
91
691
0
25 Apr 2018
Exact and Consistent Interpretation for Piecewise Linear Neural
  Networks: A Closed Form Solution
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution
Lingyang Chu
X. Hu
Juhua Hu
Lanjun Wang
J. Pei
39
99
0
17 Feb 2018
Bounding and Counting Linear Regions of Deep Neural Networks
Bounding and Counting Linear Regions of Deep Neural Networks
Thiago Serra
Christian Tjandraatmadja
Srikumar Ramalingam
MLT
59
250
0
06 Nov 2017
The Expressive Power of Neural Networks: A View from the Width
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu
Hongming Pu
Feicheng Wang
Zhiqiang Hu
Liwei Wang
96
893
0
08 Sep 2017
Nonparametric regression using deep neural networks with ReLU activation
  function
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
220
810
0
22 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
303
1,865
0
03 Feb 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
252
8,550
0
16 Aug 2016
Measuring Neural Net Robustness with Constraints
Measuring Neural Net Robustness with Constraints
Osbert Bastani
Yani Andrew Ioannou
Leonidas Lampropoulos
Dimitrios Vytiniotis
A. Nori
A. Criminisi
AAML
71
424
0
24 May 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
259
19,045
0
20 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
259
14,912
1
21 Dec 2013
1