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DelBugV: Delta-Debugging Neural Network Verifiers

DelBugV: Delta-Debugging Neural Network Verifiers

29 May 2023
R. Elsaleh
Guy Katz
ArXivPDFHTML

Papers citing "DelBugV: Delta-Debugging Neural Network Verifiers"

41 / 41 papers shown
Title
First Three Years of the International Verification of Neural Networks
  Competition (VNN-COMP)
First Three Years of the International Verification of Neural Networks Competition (VNN-COMP)
Christopher Brix
Mark Niklas Muller
Stanley Bak
Taylor T. Johnson
Changliu Liu
NAI
58
71
0
14 Jan 2023
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection
  System
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System
Guy Amir
Ziv Freund
Guy Katz
Elad Mandelbaum
Idan Refaeli
84
13
0
06 Dec 2022
Efficient Neural Network Analysis with Sum-of-Infeasibilities
Efficient Neural Network Analysis with Sum-of-Infeasibilities
Haoze Wu
Aleksandar Zeljić
Guy Katz
Clark W. Barrett
AAML
86
31
0
19 Mar 2022
Verification-Aided Deep Ensemble Selection
Verification-Aided Deep Ensemble Selection
Guy Amir
Tom Zelazny
Guy Katz
Michael Schapira
AAML
76
18
0
08 Feb 2022
An Abstraction-Refinement Approach to Verifying Convolutional Neural
  Networks
An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks
Matan Ostrovsky
Clark W. Barrett
Guy Katz
79
26
0
06 Jan 2022
Bisimulations for Neural Network Reduction
Bisimulations for Neural Network Reduction
P. Prabhakar
67
6
0
07 Oct 2021
Introduction to Neural Network Verification
Introduction to Neural Network Verification
Aws Albarghouthi
AAML
75
90
0
21 Sep 2021
The Second International Verification of Neural Networks Competition
  (VNN-COMP 2021): Summary and Results
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results
Stanley Bak
Changliu Liu
Taylor T. Johnson
NAI
77
112
0
31 Aug 2021
Neural Network Repair with Reachability Analysis
Neural Network Repair with Reachability Analysis
Xiaodong Yang
Tomochika Yamaguchi
Hoang-Dung Tran
Bardh Hoxha
Taylor T. Johnson
Danil Prokhorov
AAML
39
29
0
09 Aug 2021
Static analysis of ReLU neural networks with tropical polyhedra
Static analysis of ReLU neural networks with tropical polyhedra
Eric Goubault
Sébastien Palumby
S. Putot
Louis Rustenholz
S. Sankaranarayanan
42
7
0
30 Jul 2021
Pruning and Slicing Neural Networks using Formal Verification
Pruning and Slicing Neural Networks using Formal Verification
O. Lahav
Guy Katz
56
21
0
28 May 2021
Towards Scalable Verification of Deep Reinforcement Learning
Towards Scalable Verification of Deep Reinforcement Learning
Guy Amir
Michael Schapira
Guy Katz
OffRL
58
47
0
25 May 2021
NNrepair: Constraint-based Repair of Neural Network Classifiers
NNrepair: Constraint-based Repair of Neural Network Classifiers
Muhammad Usman
D. Gopinath
Youcheng Sun
Yannic Noller
C. Păsăreanu
29
38
0
23 Mar 2021
PRIMA: General and Precise Neural Network Certification via Scalable
  Convex Hull Approximations
PRIMA: General and Precise Neural Network Certification via Scalable Convex Hull Approximations
Mark Niklas Muller
Gleb Makarchuk
Gagandeep Singh
Markus Püschel
Martin Vechev
63
92
0
05 Mar 2021
Towards Repairing Neural Networks Correctly
Towards Repairing Neural Networks Correctly
Guoliang Dong
Jun Sun
Jingyi Wang
Xinyu Wang
Ting Dai
39
23
0
03 Dec 2020
Global Optimization of Objective Functions Represented by ReLU Networks
Global Optimization of Objective Functions Represented by ReLU Networks
Christopher A. Strong
Haoze Wu
Aleksandar Zeljić
Kyle D. Julian
Guy Katz
Clark W. Barrett
Mykel J. Kochenderfer
AAML
43
33
0
07 Oct 2020
Abstraction based Output Range Analysis for Neural Networks
Abstraction based Output Range Analysis for Neural Networks
P. Prabhakar
Zahra Rahimi Afzal
63
63
0
18 Jul 2020
DeepAbstract: Neural Network Abstraction for Accelerating Verification
DeepAbstract: Neural Network Abstraction for Accelerating Verification
P. Ashok
Vahid Hashemi
Jan Křetínský
S. Mohr
30
50
0
24 Jun 2020
Parallelization Techniques for Verifying Neural Networks
Parallelization Techniques for Verifying Neural Networks
Haoze Wu
Alex Ozdemir
Aleksandar Zeljić
A. Irfan
Kyle D. Julian
D. Gopinath
Sadjad Fouladi
Guy Katz
C. Păsăreanu
Clark W. Barrett
51
59
0
17 Apr 2020
NNV: The Neural Network Verification Tool for Deep Neural Networks and
  Learning-Enabled Cyber-Physical Systems
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
Hoang-Dung Tran
Xiaodong Yang
Diego Manzanas Lopez
Patrick Musau
L. V. Nguyen
Weiming Xiang
Stanley Bak
Taylor T. Johnson
95
242
0
12 Apr 2020
Verification of Deep Convolutional Neural Networks Using ImageStars
Verification of Deep Convolutional Neural Networks Using ImageStars
Hoang-Dung Tran
Stanley Bak
Weiming Xiang
Taylor T. Johnson
AAML
51
129
0
12 Apr 2020
Verifying Recurrent Neural Networks using Invariant Inference
Verifying Recurrent Neural Networks using Invariant Inference
Y. Jacoby
Clark W. Barrett
Guy Katz
27
45
0
06 Apr 2020
Exploiting Verified Neural Networks via Floating Point Numerical Error
Exploiting Verified Neural Networks via Floating Point Numerical Error
Kai Jia
Martin Rinard
AAML
68
37
0
06 Mar 2020
CounterExample Guided Neural Synthesis
CounterExample Guided Neural Synthesis
Elizabeth Polgreen
Ralph Abboud
Daniel Kroening
NAI
24
9
0
25 Jan 2020
Perfectly Parallel Fairness Certification of Neural Networks
Perfectly Parallel Fairness Certification of Neural Networks
Caterina Urban
M. Christakis
Valentin Wüstholz
Fuyuan Zhang
77
69
0
05 Dec 2019
Machine learning for protein folding and dynamics
Machine learning for protein folding and dynamics
Frank Noé
Gianni De Fabritiis
C. Clementi
AI4CE
98
137
0
22 Nov 2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural
  Language Processing
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
Jian Guo
He He
Tong He
Leonard Lausen
Mu Li
...
Hang Zhang
Zhi-Li Zhang
Zhongyue Zhang
Shuai Zheng
Yi Zhu
VLM
BDL
71
197
0
09 Jul 2019
Quantitative Verification of Neural Networks And its Security
  Applications
Quantitative Verification of Neural Networks And its Security Applications
Teodora Baluta
Shiqi Shen
Shweta Shinde
Kuldeep S. Meel
P. Saxena
AAML
59
105
0
25 Jun 2019
Optimization and Abstraction: A Synergistic Approach for Analyzing
  Neural Network Robustness
Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness
Greg Anderson
Shankara Pailoor
Işıl Dillig
Swarat Chaudhuri
AAML
73
101
0
22 Apr 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
94
400
0
15 Mar 2019
Multi-Task Deep Neural Networks for Natural Language Understanding
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu
Pengcheng He
Weizhu Chen
Jianfeng Gao
AI4CE
124
1,271
0
31 Jan 2019
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in
  Neural Networks
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks
D. Gopinath
Guy Katz
C. Păsăreanu
Clark W. Barrett
AAML
102
87
0
02 Oct 2017
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
108
294
0
09 Aug 2017
An approach to reachability analysis for feed-forward ReLU neural
  networks
An approach to reachability analysis for feed-forward ReLU neural networks
A. Lomuscio
Lalit Maganti
63
359
0
22 Jun 2017
DeepSF: deep convolutional neural network for mapping protein sequences
  to folds
DeepSF: deep convolutional neural network for mapping protein sequences to folds
Jie Hou
B. Adhikari
Jianlin Cheng
63
200
0
04 Jun 2017
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks
Rüdiger Ehlers
102
626
0
03 May 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
318
1,868
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
219
943
0
21 Oct 2016
A Primer on Neural Network Models for Natural Language Processing
A Primer on Neural Network Models for Natural Language Processing
Yoav Goldberg
AI4CE
97
1,131
0
02 Oct 2015
Deep Image: Scaling up Image Recognition
Ren Wu
Shengen Yan
Yi Shan
Qingqing Dang
Gang Sun
VLM
63
373
0
13 Jan 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,066
0
20 Dec 2014
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