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OVERT: An Algorithm for Safety Verification of Neural Network Control
  Policies for Nonlinear Systems

OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems

3 August 2021
Chelsea Sidrane
Amir Maleki
A. Irfan
Mykel J. Kochenderfer
ArXiv (abs)PDFHTML

Papers citing "OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems"

28 / 28 papers shown
Title
BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems
BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems
Chelsea Sidrane
Jana Tumova
76
0
0
06 May 2025
Learning Verifiable Control Policies Using Relaxed Verification
Learning Verifiable Control Policies Using Relaxed Verification
Puja Chaudhury
Alexander Estornell
Michael Everett
65
0
0
23 Apr 2025
Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers
Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers
Damola Ajeyemi
Saber Jafarpour
Emiliano DallÁnese
50
0
0
11 Apr 2025
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and
  Reachability Analysis
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis
Karan Mahesh
Tyler M. Paine
Max L. Greene
Nicholas Rober
Steven Lee
Sildomar T. Monteiro
Anuradha Annaswamy
Michael R. Benjamin
Jonathan P. How
26
1
0
01 Oct 2024
Constraint-Aware Refinement for Safety Verification of Neural Feedback
  Loops
Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops
Nicholas Rober
Jonathan P. How
99
1
0
30 Sep 2024
TTT: A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems
TTT: A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems
Chelsea Sidrane
Jana Tumova
84
3
0
19 Jul 2024
Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving
  Reachability Analysis
Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysis
Sina Sharifi
Mahyar Fazlyab
94
0
0
06 Jun 2024
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov
  Barrier Certificates
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
Udayan Mandal
Guy Amir
Haoze Wu
Ieva Daukantas
Fletcher Lee Newell
...
Michael Durling
Milan Ganai
Tobey Shim
Guy Katz
Clark W. Barrett
64
8
0
22 May 2024
Runtime Monitoring and Fault Detection for Neural Network-Controlled
  Systems
Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems
Jianglin Lan
Siyuan Zhan
Ronald J. Patton
Xianxian Zhao
89
1
0
24 Mar 2024
Provably Safe Neural Network Controllers via Differential Dynamic Logic
Provably Safe Neural Network Controllers via Differential Dynamic Logic
Samuel Teuber
Stefan Mitsch
André Platzer
AAML
54
9
0
16 Feb 2024
Distributionally Robust Statistical Verification with Imprecise Neural Networks
Distributionally Robust Statistical Verification with Imprecise Neural Networks
Souradeep Dutta
Michele Caprio
Vivian Lin
Matthew Cleaveland
Kuk Jin Jang
I. Ruchkin
O. Sokolsky
Insup Lee
OODAAML
215
8
0
28 Aug 2023
Efficient Interaction-Aware Interval Analysis of Neural Network Feedback
  Loops
Efficient Interaction-Aware Interval Analysis of Neural Network Feedback Loops
Saber Jafarpour
Akash Harapanahalli
Samuel Coogan
72
13
0
27 Jul 2023
Verification of Neural Network Control Systems using Symbolic Zonotopes
  and Polynotopes
Verification of Neural Network Control Systems using Symbolic Zonotopes and Polynotopes
Carlos Trapiello
C. Combastel
A. Zolghadri
21
2
0
26 Jun 2023
Bayesian Safety Validation for Failure Probability Estimation of
  Black-Box Systems
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
Robert J. Moss
Mykel J. Kochenderfer
Maxime Gariel
Arthur Dubois
53
4
0
03 May 2023
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
160
37
0
29 Apr 2023
Contraction-Guided Adaptive Partitioning for Reachability Analysis of
  Neural Network Controlled Systems
Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems
Akash Harapanahalli
Saber Jafarpour
Samuel Coogan
71
5
0
07 Apr 2023
Interval Reachability of Nonlinear Dynamical Systems with Neural Network
  Controllers
Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers
Saber Jafarpour
Akash Harapanahalli
Samuel Coogan
75
10
0
19 Jan 2023
Automated Reachability Analysis of Neural Network-Controlled Systems via
  Adaptive Polytopes
Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes
Taha Entesari
Mahyar Fazlyab
91
5
0
14 Dec 2022
DRIP: Domain Refinement Iteration with Polytopes for Backward
  Reachability Analysis of Neural Feedback Loops
DRIP: Domain Refinement Iteration with Polytopes for Backward Reachability Analysis of Neural Feedback Loops
Michael Everett
Rudy Bunel
Shayegan Omidshafiei
89
9
0
09 Dec 2022
ReachLipBnB: A branch-and-bound method for reachability analysis of
  neural autonomous systems using Lipschitz bounds
ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz bounds
Taha Entesari
Sina Sharifi
Mahyar Fazlyab
104
6
0
01 Nov 2022
A Hybrid Partitioning Strategy for Backward Reachability of Neural
  Feedback Loops
A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops
Nicholas Rober
Michael Everett
Songan Zhang
Jonathan P. How
61
9
0
14 Oct 2022
Backward Reachability Analysis of Neural Feedback Loops: Techniques for
  Linear and Nonlinear Systems
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems
Nicholas Rober
Sydney M. Katz
Chelsea Sidrane
Esen Yel
Michael Everett
Mykel J. Kochenderfer
Jonathan P. How
92
28
0
28 Sep 2022
Toward Certified Robustness Against Real-World Distribution Shifts
Toward Certified Robustness Against Real-World Distribution Shifts
Haoze Wu
Teruhiro Tagomori
Alexander Robey
Fengjun Yang
Nikolai Matni
George Pappas
Hamed Hassani
C. Păsăreanu
Clark W. Barrett
AAMLOOD
115
18
0
08 Jun 2022
Backward Reachability Analysis for Neural Feedback Loops
Backward Reachability Analysis for Neural Feedback Loops
Nicholas Rober
Michael Everett
Jonathan P. How
60
10
0
14 Apr 2022
Fail-Safe Adversarial Generative Imitation Learning
Fail-Safe Adversarial Generative Imitation Learning
Philipp Geiger
C. Straehle
GAN
53
2
0
03 Mar 2022
Verifying Inverse Model Neural Networks
Verifying Inverse Model Neural Networks
Chelsea Sidrane
Sydney M. Katz
Anthony Corso
Mykel J. Kochenderfer
63
2
0
04 Feb 2022
Verification of Neural-Network Control Systems by Integrating Taylor
  Models and Zonotopes
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
Christian Schilling
M. Forets
Sebastián Guadalupe
37
41
0
16 Dec 2021
Interpretable Local Tree Surrogate Policies
Interpretable Local Tree Surrogate Policies
John Mern
Sidhart Krishnan
Anil Yildiz
Kyle Hatch
Mykel J. Kochenderfer
OffRL
45
0
0
16 Sep 2021
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