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Revisiting Differential Verification: Equivalence Verification with Confidence

Revisiting Differential Verification: Equivalence Verification with Confidence

26 October 2024
Samuel Teuber
Philipp Kern
Marvin Janzen
Bernhard Beckert
ArXivPDFHTML

Papers citing "Revisiting Differential Verification: Equivalence Verification with Confidence"

24 / 24 papers shown
Title
Neural Network Verification with Branch-and-Bound for General Nonlinearities
Neural Network Verification with Branch-and-Bound for General Nonlinearities
Zhouxing Shi
Qirui Jin
Zico Kolter
Suman Jana
Cho-Jui Hsieh
Huan Zhang
74
16
0
31 May 2024
Relational DNN Verification With Cross Executional Bound Refinement
Relational DNN Verification With Cross Executional Bound Refinement
Debangshu Banerjee
Gagandeep Singh
AAML
46
5
0
16 May 2024
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
Haoze Wu
Omri Isac
Aleksandar Zeljić
Teruhiro Tagomori
M. Daggitt
...
Min Wu
Min Zhang
Ekaterina Komendantskaya
Guy Katz
Clark W. Barrett
94
39
0
25 Jan 2024
Two Sides of Miscalibration: Identifying Over and Under-Confidence
  Prediction for Network Calibration
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration
Shuang Ao
Stefan Rueger
Advaith Siddharthan
UQCV
30
8
0
06 Aug 2023
Provably Bounding Neural Network Preimages
Provably Bounding Neural Network Preimages
Suhas Kotha
Christopher Brix
Zico Kolter
Krishnamurthy Dvijotham
Huan Zhang
AAML
56
18
0
02 Feb 2023
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
51
71
0
14 Jan 2023
QEBVerif: Quantization Error Bound Verification of Neural Networks
QEBVerif: Quantization Error Bound Verification of Neural Networks
Yedi Zhang
Fu Song
Jun Sun
MQ
48
11
0
06 Dec 2022
Towards Reliable Neural Specifications
Towards Reliable Neural Specifications
Chuqin Geng
Nham Le
Xiaojie Xu
Zhaoyue Wang
A. Gurfinkel
X. Si
AAML
46
10
0
28 Oct 2022
General Cutting Planes for Bound-Propagation-Based Neural Network
  Verification
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Huan Zhang
Shiqi Wang
Kaidi Xu
Linyi Li
Yue Liu
Suman Jana
Cho-Jui Hsieh
J. Zico Kolter
58
102
0
11 Aug 2022
On Neural Network Equivalence Checking using SMT Solvers
On Neural Network Equivalence Checking using SMT Solvers
Charis Eleftheriadis
Nikolaos Kekatos
Panagiotis Katsaros
S. Tripakis
AAML
40
12
0
22 Mar 2022
Geometric Path Enumeration for Equivalence Verification of Neural
  Networks
Geometric Path Enumeration for Equivalence Verification of Neural Networks
Samuel Teuber
Marko Kleine Büning
Philipp Kern
C. Sinz
42
11
0
13 Dec 2021
Reachability Is NP-Complete Even for the Simplest Neural Networks
Reachability Is NP-Complete Even for the Simplest Neural Networks
Marco Sälzer
M. Lange
37
27
0
30 Aug 2021
DNNV: A Framework for Deep Neural Network Verification
DNNV: A Framework for Deep Neural Network Verification
David Shriver
Sebastian G. Elbaum
Matthew B. Dwyer
50
32
0
26 May 2021
Fast and Complete: Enabling Complete Neural Network Verification with
  Rapid and Massively Parallel Incomplete Verifiers
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers
Kaidi Xu
Huan Zhang
Shiqi Wang
Yihan Wang
Suman Jana
Xue Lin
Cho-Jui Hsieh
82
183
0
27 Nov 2020
NeuroDiff: Scalable Differential Verification of Neural Networks using
  Fine-Grained Approximation
NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation
Brandon Paulsen
Jingbo Wang
Jiawei Wang
Chao Wang
62
36
0
21 Sep 2020
Scaling Polyhedral Neural Network Verification on GPUs
Scaling Polyhedral Neural Network Verification on GPUs
Christoph Müller
F. Serre
Gagandeep Singh
Markus Püschel
Martin Vechev
AAML
43
56
0
20 Jul 2020
ReluDiff: Differential Verification of Deep Neural Networks
ReluDiff: Differential Verification of Deep Neural Networks
Brandon Paulsen
Jingbo Wang
Chao Wang
113
53
0
10 Jan 2020
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
89
760
0
02 Nov 2018
Efficient Formal Safety Analysis of Neural Networks
Efficient Formal Safety Analysis of Neural Networks
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
65
404
0
19 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
84
478
0
28 Apr 2018
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
128
392
0
16 Apr 2018
Verifying Properties of Binarized Deep Neural Networks
Verifying Properties of Binarized Deep Neural Networks
Nina Narodytska
S. Kasiviswanathan
L. Ryzhyk
Shmuel Sagiv
T. Walsh
AAML
64
217
0
19 Sep 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,827
0
14 Jun 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
315
1,867
0
03 Feb 2017
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