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Safety Verification and Robustness Analysis of Neural Networks via
  Quadratic Constraints and Semidefinite Programming
v1v2v3 (latest)

Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming

IEEE Transactions on Automatic Control (IEEE TAC), 2019
4 March 2019
Mahyar Fazlyab
M. Morari
George J. Pappas
    AAML
ArXiv (abs)PDFHTML

Papers citing "Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming"

50 / 112 papers shown
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Xiang Li
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Verified Compositions of Neural Network Controllers for Temporal Logic
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Samarth Kalluraya
Y. Kantaros
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Neural Observer with Lyapunov Stability Guarantee for Uncertain
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Neural Observer with Lyapunov Stability Guarantee for Uncertain Nonlinear SystemsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Song Chen
Shengze Cai
Tehuan Chen
Chao Xu
Jian Chu
175
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Risk Verification of Stochastic Systems with Neural Network Controllers
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Lars Lindemann
Radoslav Ivanov
George Pappas
309
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An Overview and Prospective Outlook on Robust Training and Certification
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An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models
Brendon G. Anderson
Tanmay Gautam
Somayeh Sojoudi
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263
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0
15 Aug 2022
Parabolic Relaxation for Quadratically-constrained Quadratic Programming
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Parabolic Relaxation for Quadratically-constrained Quadratic Programming -- Part II: Theoretical & Computational Results
Ramtin Madani
Mersedeh Ashraphijuo
Mohsen Kheirandishfard
Alper Atamtürk
120
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Stability Verification of Neural Network Controllers using Mixed-Integer
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Stability Verification of Neural Network Controllers using Mixed-Integer ProgrammingIEEE Transactions on Automatic Control (TAC), 2022
Roland Schwan
Colin N. Jones
Daniel Kuhn
257
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0
27 Jun 2022
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal
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Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification PerspectiveIEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Mark Huasong Meng
Guangdong Bai
Sin Gee Teo
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Yan Xiao
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Jin Song Dong
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203
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24 Jun 2022
Chordal Sparsity for SDP-based Neural Network Verification
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Lars Lindemann
Rajeev Alur
253
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07 Jun 2022
Data-Driven Linear Koopman Embedding for Networked Systems:
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Ramij-Raja Hossain
Rahmat Adesunkanmi
Ratnesh Kumar
135
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02 Jun 2022
Robust Longitudinal Control for Vehicular Autonomous Platoons Using Deep
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Robust Longitudinal Control for Vehicular Autonomous Platoons Using Deep Reinforcement Learning
A. A. Neto
L. Mozelli
180
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31 May 2022
Neural Lyapunov Differentiable Predictive Control
Neural Lyapunov Differentiable Predictive ControlIEEE Conference on Decision and Control (CDC), 2022
Sayak Mukherjee
Ján Drgoňa
Aaron Tuor
M. Halappanavar
D. Vrabie
258
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22 May 2022
Robust stabilization of polytopic systems via fast and reliable neural
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149
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Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural
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Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural NetworksIEEE Conference on Decision and Control (CDC), 2022
Anton Xue
Lars Lindemann
Avi Schwarzschild
Hamed Hassani
George J. Pappas
Rajeev Alur
239
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Comparative Analysis of Interval Reachability for Robust Implicit and
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A. Davydov
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Samuel Coogan
130
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01 Apr 2022
Synthesis of Stabilizing Recurrent Equilibrium Network Controllers
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He Yin
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Peter M. Seiler
265
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Closing the Loop: A Framework for Trustworthy Machine Learning in Power
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Rahul Nellikkath
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Spyros Chatzivasileiadis
238
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14 Mar 2022
A Unified View of SDP-based Neural Network Verification through
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A Unified View of SDP-based Neural Network Verification through Completely Positive ProgrammingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Robin Brown
Edward Schmerling
Navid Azizan
Marco Pavone
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144
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Learning Neural Networks under Input-Output Specifications
Learning Neural Networks under Input-Output SpecificationsAmerican Control Conference (ACC), 2022
Z. Abdeen
He Yin
V. Kekatos
Ming Jin
193
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23 Feb 2022
Stability Analysis of Recurrent Neural Networks by IQC with Copositive
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Stability Analysis of Recurrent Neural Networks by IQC with Copositive MutipliersIEEE Conference on Decision and Control (CDC), 2021
Y. Ebihara
Hayato Waki
Victor Magron
N. Mai
D. Peaucelle
Sophie Tarbouriech
97
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Neural network training under semidefinite constraints
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Patricia Pauli
Niklas Funcke
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Frank Allgöwer
GAN
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Robustness Certificates for Implicit Neural Networks: A Mixed Monotone
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Saber Jafarpour
Matthew Abate
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Samuel Coogan
AAML
139
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10 Dec 2021
QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model
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Xidan Song
Edoardo Manino
Luiz Sena
E. Alves
Eddie Batista de Lima Filho
I. Bessa
M. Luján
Lucas C. Cordeiro
172
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0
25 Nov 2021
Robustness against Adversarial Attacks in Neural Networks using
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Arash Rahnama
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Lizhen Lin
Vijay Gupta
AAML
153
10
0
25 Nov 2021
Reliably-stabilizing piecewise-affine neural network controllers
Reliably-stabilizing piecewise-affine neural network controllersIEEE Transactions on Automatic Control (IEEE TAC), 2021
F. Fabiani
Paul Goulart
238
46
0
13 Nov 2021
Neural Network Verification in Control
Neural Network Verification in Control
M. Everett
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157
19
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30 Sep 2021
Lyapunov-stable neural-network control
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Hongkai Dai
Benoit Landry
Lujie Yang
Marco Pavone
Russ Tedrake
220
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29 Sep 2021
Recurrent Neural Network Controllers Synthesis with Stability Guarantees
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Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed SystemsAAAI Conference on Artificial Intelligence (AAAI), 2021
Fangda Gu
He Yin
L. Ghaoui
Murat Arcak
Peter M. Seiler
Ming Jin
137
32
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08 Sep 2021
Reachability Analysis of Neural Feedback Loops
Reachability Analysis of Neural Feedback LoopsIEEE Access (IEEE Access), 2021
M. Everett
Golnaz Habibi
Chuangchuang Sun
Jonathan P. How
134
68
0
09 Aug 2021
DeepSplit: Scalable Verification of Deep Neural Networks via Operator
  Splitting
DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting
Shaoru Chen
Eric Wong
Zico Kolter
Mahyar Fazlyab
262
17
0
16 Jun 2021
Verifying Quantized Neural Networks using SMT-Based Model Checking
Verifying Quantized Neural Networks using SMT-Based Model Checking
Luiz Sena
Xidan Song
E. Alves
I. Bessa
Edoardo Manino
Lucas C. Cordeiro
Eddie Batista de Lima Filho
279
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0
10 Jun 2021
Robust Implicit Networks via Non-Euclidean Contractions
Robust Implicit Networks via Non-Euclidean ContractionsNeural Information Processing Systems (NeurIPS), 2021
Saber Jafarpour
A. Davydov
A. Proskurnikov
Francesco Bullo
400
47
0
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Leveraging Classification Metrics for Quantitative System-Level Analysis
  with Temporal Logic Specifications
Leveraging Classification Metrics for Quantitative System-Level Analysis with Temporal Logic SpecificationsIEEE Conference on Decision and Control (CDC), 2021
Apurva Badithela
Tichakorn Wongpiromsarn
R. Murray
110
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Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed
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Ruigang Wang
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298
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Linear systems with neural network nonlinearities: Improved stability
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Performance Bounds for Neural Network Estimators: Applications in Fault
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128
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Beta-CROWN: Efficient Bound Propagation with Per-neuron Split
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Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness VerificationNeural Information Processing Systems (NeurIPS), 2021
Shiqi Wang
Huan Zhang
Kaidi Xu
Xue Lin
Suman Jana
Cho-Jui Hsieh
Zico Kolter
322
261
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Formal Verification of Stochastic Systems with ReLU Neural Network
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Formal Verification of Stochastic Systems with ReLU Neural Network ControllersIEEE International Conference on Robotics and Automation (ICRA), 2021
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Yan Zhang
Xusheng Luo
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101
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Reduced-Order Neural Network Synthesis with Robustness Guarantees
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Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
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Brendon G. Anderson
Ziye Ma
Jingqi Li
Somayeh Sojoudi
534
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22 Jan 2021
Efficient Reachability Analysis of Closed-Loop Systems with Neural
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Jonathan P. How
156
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Certifying Incremental Quadratic Constraints for Neural Networks via
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A Statistical Test for Probabilistic Fairness
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Robust error bounds for quantised and pruned neural networks
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228
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Stability Analysis of Complementarity Systems with Neural Network
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Enabling certification of verification-agnostic networks via
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Robustness Analysis of Neural Networks via Efficient Partitioning with
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