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Fast and Complete: Enabling Complete Neural Network Verification with
  Rapid and Massively Parallel Incomplete Verifiers
v1v2 (latest)

Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers

27 November 2020
Kaidi Xu
Huan Zhang
Shiqi Wang
Yihan Wang
Suman Jana
Xue Lin
Cho-Jui Hsieh
ArXiv (abs)PDFHTML

Papers citing "Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers"

50 / 111 papers shown
Title
Solution-aware vs global ReLU selection: partial MILP strikes back for DNN verification
Solution-aware vs global ReLU selection: partial MILP strikes back for DNN verification
Yuke Liao
Blaise Genest
Kuldeep Meel
Shaan Aryaman
23
0
0
31 Jul 2025
Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision
Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision
Samuel Teuber
Debasmita Lohar
Bernhard Beckert
38
0
0
30 Jul 2025
TriGuard: Testing Model Safety with Attribution Entropy, Verification, and Drift
TriGuard: Testing Model Safety with Attribution Entropy, Verification, and Drift
Dipesh Tharu Mahato
Rohan Poudel
Pramod Dhungana
AAML
79
0
0
17 Jun 2025
Safe Domains of Attraction for Discrete-Time Nonlinear Systems: Characterization and Verifiable Neural Network Estimation
Safe Domains of Attraction for Discrete-Time Nonlinear Systems: Characterization and Verifiable Neural Network Estimation
Mohamed Serry
H. Li
Ruikun Zhou
H. Zhang
Jun Liu
40
0
0
16 Jun 2025
Compression Aware Certified Training
Compression Aware Certified Training
Changming Xu
Gagandeep Singh
70
0
0
13 Jun 2025
Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
Ryota Ueda
Takami Sato
Ken Kobayashi
Kazuhide Nakata
AAML
148
0
0
12 Jun 2025
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
Hong-Ming Chiu
Hao Chen
Huan Zhang
Richard Y. Zhang
51
0
0
07 Jun 2025
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
Daniel Ovalle
Lorenz T. Biegler
Ignacio E. Grossmann
Carl D. Laird
Mateo Dulce Rubio
118
0
0
04 Jun 2025
No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks
No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks
Attila Szász
Balázs Bánhelyi
Márk Jelasity
58
0
0
01 Jun 2025
Efficient Preimage Approximation for Neural Network Certification
Efficient Preimage Approximation for Neural Network Certification
Anton Björklund
Mykola Zaitsev
Marta Kwiatkowska
AAML
72
0
0
28 May 2025
Out of the Shadows: Exploring a Latent Space for Neural Network Verification
Out of the Shadows: Exploring a Latent Space for Neural Network Verification
Lukas Koller
Tobias Ladner
Matthias Althoff
109
0
0
23 May 2025
A General Framework for Property-Driven Machine Learning
A General Framework for Property-Driven Machine Learning
Thomas Flinkow
Marco Casadio
Colin Kessler
Rosemary Monahan
Ekaterina Komendantskaya
AAML
194
2
0
01 May 2025
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation
Fauzan Nazranda Rizqan
Matthew Hole
Charles Gretton
187
1
0
29 Apr 2025
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
H. Li
Xiangru Zhong
Bin Hu
Huan Zhang
84
0
0
23 Apr 2025
Support is All You Need for Certified VAE Training
Support is All You Need for Certified VAE Training
Changming Xu
Debangshu Banerjee
Deepak Vasisht
Gagandeep Singh
AAML
103
0
0
16 Apr 2025
Efficient Reachability Analysis for Convolutional Neural Networks Using Hybrid Zonotopes
Yuhao Zhang
Xiangru Xu
AAML
123
0
0
13 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
Eric Heim
Oren Wright
David Shriver
OODFaML
175
0
0
01 Mar 2025
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
Xinhang Ma
Junlin Wu
Hussein Sibai
Y. Kantaros
Yevgeniy Vorobeychik
100
0
0
28 Feb 2025
Verification of Bit-Flip Attacks against Quantized Neural Networks
Verification of Bit-Flip Attacks against Quantized Neural Networks
Yedi Zhang
Lei Huang
Pengfei Gao
Fu Song
Jun Sun
Jin Song Dong
AAML
125
0
0
22 Feb 2025
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics
Keyi Shen
Jiangwei Yu
Huan Zhang
Yunzhu Li
Yunzhu Li
305
1
0
12 Dec 2024
Testing Neural Network Verifiers: A Soundness Benchmark with Hidden
  Counterexamples
Testing Neural Network Verifiers: A Soundness Benchmark with Hidden Counterexamples
Xingjian Zhou
Hongji Xu
Andy Xu
Zhouxing Shi
Cho-Jui Hsieh
Huan Zhang
AAML
143
1
0
04 Dec 2024
Specification Generation for Neural Networks in Systems
Specification Generation for Neural Networks in Systems
Isha Chaudhary
Shuyi Lin
Cheng Tan
Gagandeep Singh
163
0
0
04 Dec 2024
Certified Training with Branch-and-Bound: A Case Study on
  Lyapunov-stable Neural Control
Certified Training with Branch-and-Bound: A Case Study on Lyapunov-stable Neural Control
Zhouxing Shi
Cho-Jui Hsieh
Huan Zhang
173
2
0
27 Nov 2024
Creating a Formally Verified Neural Network for Autonomous Navigation:
  An Experience Report
Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report
Syed Ali Asadullah Bukhari
Thomas Flinkow
M. Inkarbekov
Barak A. Pearlmutter
Rosemary Monahan
166
0
0
21 Nov 2024
Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels
Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels
Benedikt Brückner
Alessio Lomuscio
AAML
170
1
0
07 Nov 2024
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural
  Barrier Functions
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions
Hongchao Zhang
Zhizhen Qin
Sicun Gao
Andrew Clark
108
3
0
27 Oct 2024
Revisiting Differential Verification: Equivalence Verification with Confidence
Revisiting Differential Verification: Equivalence Verification with Confidence
Samuel Teuber
Philipp Kern
Marvin Janzen
Bernhard Beckert
152
1
0
26 Oct 2024
On Using Certified Training towards Empirical Robustness
On Using Certified Training towards Empirical Robustness
Alessandro De Palma
Serge Durand
Zakaria Chihani
François Terrier
Caterina Urban
OODAAML
211
1
0
02 Oct 2024
AutoSpec: Automated Generation of Neural Network Specifications
AutoSpec: Automated Generation of Neural Network Specifications
Shuowei Jin
Francis Y. Yan
Cheng Tan
Anuj Kalia
Xenofon Foukas
Z. Morley Mao
101
0
0
17 Sep 2024
Training Safe Neural Networks with Global SDP Bounds
Training Safe Neural Networks with Global SDP Bounds
Roman Soletskyi
David "davidad" Dalrymple
AAML
103
1
0
15 Sep 2024
Verification of Geometric Robustness of Neural Networks via Piecewise
  Linear Approximation and Lipschitz Optimisation
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation
Ben Batten
Yang Zheng
Alessandro De Palma
Panagiotis Kouvaros
A. Lomuscio
AAML
99
1
0
23 Aug 2024
Achieving the Tightest Relaxation of Sigmoids for Formal Verification
Achieving the Tightest Relaxation of Sigmoids for Formal Verification
Samuel Chevalier
Duncan Starkenburg
Krishnamurthy Dvijotham
89
2
0
20 Aug 2024
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks
Xiyue Zhang
Benjie Wang
Marta Z. Kwiatkowska
Huan Zhang
AAML
131
4
0
17 Aug 2024
Certified Continual Learning for Neural Network Regression
Certified Continual Learning for Neural Network Regression
Long H. Pham
Jun Sun
154
2
0
09 Jul 2024
ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks
ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks
Tianhao Wei
Luca Marzari
Kai S. Yun
Hanjiang Hu
Peizhi Niu
Xusheng Luo
Changliu Liu
106
1
0
30 Jun 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in
  Deep Robust Classifiers
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
Jonas Ngnawé
Sabyasachi Sahoo
Y. Pequignot
Frédéric Precioso
Christian Gagné
AAML
120
0
0
26 Jun 2024
Automated Design of Linear Bounding Functions for Sigmoidal
  Nonlinearities in Neural Networks
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
Matthias König
Xiyue Zhang
Holger H. Hoos
Marta Kwiatkowska
Jan N. van Rijn
AAML
87
1
0
14 Jun 2024
CTBENCH: A Library and Benchmark for Certified Training
CTBENCH: A Library and Benchmark for Certified Training
Yuhao Mao
Stefan Balauca
Martin Vechev
OOD
201
5
0
07 Jun 2024
Towards General Robustness Verification of MaxPool-based Convolutional
  Neural Networks via Tightening Linear Approximation
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
Yuan Xiao
Shiqing Ma
Juan Zhai
Chunrong Fang
Jinyuan Jia
Zhenyu Chen
AAML
114
1
0
02 Jun 2024
Compact Optimality Verification for Optimization Proxies
Compact Optimality Verification for Optimization Proxies
Wenbo Chen
Haoruo Zhao
Mathieu Tanneau
Pascal Van Hentenryck
116
0
0
31 May 2024
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
152
23
0
31 May 2024
Verifiably Robust Conformal Prediction
Verifiably Robust Conformal Prediction
Linus Jeary
Tom Kuipers
Mehran Hosseini
Nicola Paoletti
AAML
147
7
0
29 May 2024
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
Jianting Yang
Srecko Ðurasinovic
Jean B. Lasserre
Victor Magron
Jun Zhao
AAML
182
1
0
27 May 2024
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
David Boetius
Stefan Leue
Tobias Sutter
210
2
0
27 May 2024
Relational DNN Verification With Cross Executional Bound Refinement
Relational DNN Verification With Cross Executional Bound Refinement
Debangshu Banerjee
Gagandeep Singh
AAML
100
7
0
16 May 2024
Cross-Input Certified Training for Universal Perturbations
Cross-Input Certified Training for Universal Perturbations
Changming Xu
Gagandeep Singh
AAML
92
2
0
15 May 2024
Certifying Robustness of Graph Convolutional Networks for Node
  Perturbation with Polyhedra Abstract Interpretation
Certifying Robustness of Graph Convolutional Networks for Node Perturbation with Polyhedra Abstract Interpretation
Boqi Chen
Kristóf Marussy
Oszkár Semeráth
Gunter Mussbacher
Dániel Varró
AAML
193
0
0
14 May 2024
Scalable Exact Verification of Optimization Proxies for Large-Scale
  Optimal Power Flow
Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow
Rahul Nellikkath
Mathieu Tanneau
Pascal Van Hentenryck
Spyros Chatzivasileiadis
93
0
0
09 May 2024
Lyapunov-stable Neural Control for State and Output Feedback: A Novel
  Formulation
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Lujie Yang
Hongkai Dai
Zhouxing Shi
Cho-Jui Hsieh
Russ Tedrake
Huan Zhang
131
23
0
11 Apr 2024
DeepCDCL: An CDCL-based Neural Network Verification Framework
DeepCDCL: An CDCL-based Neural Network Verification Framework
Zongxin Liu
Pengfei Yang
Lijun Zhang
Xiaowei Huang
82
5
0
12 Mar 2024
123
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