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A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical
  Systems

A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems

6 May 2020
Anthony Corso
Robert J. Moss
Mark Koren
Ritchie Lee
Mykel J. Kochenderfer
ArXivPDFHTML

Papers citing "A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems"

50 / 73 papers shown
Title
Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals
Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals
Liam A. Kruse
Marc R. Schlichting
Mykel J. Kochenderfer
9
0
0
19 May 2025
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions
Albert Zhao
Stefano Soatto
DiffM
48
0
0
18 May 2025
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Charles Dawson
Van Tran
Max Z. Li
Chuchu Fan
47
0
0
28 Feb 2025
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling
Aman Sinha
Payam Nikdel
Supratik Paul
Shimon Whiteson
81
0
0
26 Nov 2024
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are
  Fated, But Can Be Faded"
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"
Som Sagar
Aditya Taparia
Ransalu Senanayake
20
0
0
22 Oct 2024
Learning test generators for cyber-physical systems
Learning test generators for cyber-physical systems
J. Peltomäki
Ivan Porres
26
0
0
04 Oct 2024
Realistic Extreme Behavior Generation for Improved AV Testing
Realistic Extreme Behavior Generation for Improved AV Testing
Robert Dyro
Matthew Foutter
Ruolin Li
L. D. Lillo
Edward Schmerling
Xilin Zhou
Marco Pavone
AAML
43
1
0
16 Sep 2024
Formal Verification and Control with Conformal Prediction
Formal Verification and Control with Conformal Prediction
Lars Lindemann
Yiqi Zhao
Xinyi Yu
George J. Pappas
Jyotirmoy Deshmukh
80
15
0
31 Aug 2024
Tolerance of Reinforcement Learning Controllers against Deviations in
  Cyber Physical Systems
Tolerance of Reinforcement Learning Controllers against Deviations in Cyber Physical Systems
Changjian Zhang
Parv Kapoor
Eunsuk Kang
Romulo Meira-Goes
David Garlan
Akila Ganlath
Shatadal Mishra
N. Ammar
49
0
0
24 Jun 2024
Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems
Diffusion-Based Failure Sampling for Evaluating Safety-Critical Autonomous Systems
Harrison Delecki
Marc R. Schlichting
Mansur Arief
Anthony Corso
Marcell Vazquez-Chanlatte
Mykel J. Kochenderfer
DiffM
47
0
0
20 Jun 2024
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating
  Unwanted Behaviors in Large-Scale Vision and Language Models
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
Som Sagar
Aditya Taparia
Ransalu Senanayake
50
10
0
11 Jun 2024
How Generalizable Is My Behavior Cloning Policy? A Statistical Approach
  to Trustworthy Performance Evaluation
How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation
Joseph A. Vincent
Haruki Nishimura
Masha Itkina
Paarth Shah
Mac Schwager
Thomas Kollar
OffRL
44
9
0
08 May 2024
Flow-Based Synthesis of Reactive Tests for Discrete Decision-Making
  Systems with Temporal Logic Specifications
Flow-Based Synthesis of Reactive Tests for Discrete Decision-Making Systems with Temporal Logic Specifications
Josefine B. Graebener
Apurva Badithela
Denizalp Goktas
Wyatt Ubellacker
Eric V. Mazumdar
Aaron D. Ames
Richard M. Murray
40
2
0
15 Apr 2024
RADIUM: Predicting and Repairing End-to-End Robot Failures using
  Gradient-Accelerated Sampling
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling
Charles Dawson
Anjali Parashar
Chuchu Fan
53
0
0
04 Apr 2024
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic
  Violations
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations
Craig Innes
S. Ramamoorthy
48
0
0
13 Mar 2024
Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs
Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs
Michael Gimelfarb
Ayal Taitler
Scott Sanner
33
0
0
20 Jan 2024
STEAM & MoSAFE: SOTIF Error-and-Failure Model & Analysis for AI-Enabled
  Driving Automation
STEAM & MoSAFE: SOTIF Error-and-Failure Model & Analysis for AI-Enabled Driving Automation
Krzysztof Czarnecki
Hiroshi Kuwajima
36
0
0
15 Dec 2023
Attacking Motion Planners Using Adversarial Perception Errors
Attacking Motion Planners Using Adversarial Perception Errors
Jonathan Sadeghi
Nicholas A. Lord
John Redford
Romain Mueller
AAML
42
2
0
21 Nov 2023
Reinforcement Learning for Safety Testing: Lessons from A Mobile Robot
  Case Study
Reinforcement Learning for Safety Testing: Lessons from A Mobile Robot Case Study
Tom P. Huck
Martin Kaiser
Constantin Cronrath
Bengt Lennartson
Torsten Kröger
Tamim Asfour
11
1
0
06 Nov 2023
Requirement falsification for cyber-physical systems using generative models
Requirement falsification for cyber-physical systems using generative models
J. Peltomäki
Ivan Porres
34
6
0
31 Oct 2023
Evolution of Natural Language Processing Technology: Not Just Language
  Processing Towards General Purpose AI
Evolution of Natural Language Processing Technology: Not Just Language Processing Towards General Purpose AI
Masahiro Yamamoto
19
1
0
10 Oct 2023
Formal and Practical Elements for the Certification of Machine Learning
  Systems
Formal and Practical Elements for the Certification of Machine Learning Systems
Jean-Guillaume Durand
Arthur Dubois
Robert J. Moss
32
4
0
05 Oct 2023
SAVME: Efficient Safety Validation for Autonomous Systems Using
  Meta-Learning
SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning
Marc R. Schlichting
Nina V. Board
Anthony Corso
Mykel J. Kochenderfer
17
0
0
21 Sep 2023
A Bayesian approach to breaking things: efficiently predicting and
  repairing failure modes via sampling
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling
Charles Dawson
Chuchu Fan
13
0
0
14 Sep 2023
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
OOD
AAML
54
8
0
28 Aug 2023
Reflections from the Workshop on AI-Assisted Decision Making for
  Conservation
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
Lily Xu
Esther Rolf
Sara Beery
J. Bennett
T. Berger-Wolf
...
P. Moorcroft
Jonathan Palmer
Andrew Perrault
D. Thau
Milind Tambe
55
3
0
17 Jul 2023
The Waymo Open Sim Agents Challenge
The Waymo Open Sim Agents Challenge
Nico Montali
John Lambert
Paul Mougin
Alex Kuefler
Nick Rhinehart
...
Tristan Emrich
Zoey Yang
Shimon Whiteson
Brandyn White
Drago Anguelov
LLMAG
48
46
0
19 May 2023
Model-based Validation as Probabilistic Inference
Model-based Validation as Probabilistic Inference
Harrison Delecki
Anthony Corso
Mykel J. Kochenderfer
26
8
0
17 May 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
29
3
0
03 May 2023
Ensuring Reliable Robot Task Performance through Probabilistic
  Rare-Event Verification and Synthesis
Ensuring Reliable Robot Task Performance through Probabilistic Rare-Event Verification and Synthesis
Guy Scher
Sadra Sadraddini
Ariel Yadin
H. Kress-Gazit
35
1
0
28 Apr 2023
Vectorized Scenario Description and Motion Prediction for Scenario-Based
  Testing
Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing
Max Winkelmann
Constantin Vasconi
Steffen Müller
41
2
0
02 Feb 2023
Falsification of Learning-Based Controllers through Multi-Fidelity
  Bayesian Optimization
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization
Zahra Shahrooei
Mykel J. Kochenderfer
Ali Baheri
48
6
0
28 Dec 2022
Safe Reinforcement Learning with Probabilistic Guarantees Satisfying
  Temporal Logic Specifications in Continuous Action Spaces
Safe Reinforcement Learning with Probabilistic Guarantees Satisfying Temporal Logic Specifications in Continuous Action Spaces
Hanna Krasowski
Prithvi Akella
Aaron D. Ames
Matthias Althoff
36
2
0
12 Dec 2022
A Deep Reinforcement Learning Approach to Rare Event Estimation
A Deep Reinforcement Learning Approach to Rare Event Estimation
Anthony Corso
Kyu-Young Kim
Shubh Gupta
Grace Gao
Mykel J. Kochenderfer
17
0
0
22 Nov 2022
Synthesizing Reactive Test Environments for Autonomous Systems: Testing
  Reach-Avoid Specifications with Multi-Commodity Flows
Synthesizing Reactive Test Environments for Autonomous Systems: Testing Reach-Avoid Specifications with Multi-Commodity Flows
Apurva Badithela
Josefine B. Graebener
Wyatt Ubellacker
Eric V. Mazumdar
Aaron D. Ames
R. Murray
32
3
0
19 Oct 2022
Hazard Analysis of Collaborative Automation Systems: A Two-layer
  Approach based on Supervisory Control and Simulation
Hazard Analysis of Collaborative Automation Systems: A Two-layer Approach based on Supervisory Control and Simulation
Tom P. Huck
Yuvaraj Selvaraj
Constantin Cronrath
C. Ledermann
Martin Fabian
Bengt Lennartson
Torsten Kröger
14
1
0
26 Sep 2022
On the Adversarial Scenario-based Safety Testing of Robots: the
  Comparability and Optimal Aggressiveness
On the Adversarial Scenario-based Safety Testing of Robots: the Comparability and Optimal Aggressiveness
Bowen Weng
Guillermo A. Castillo
Wei Zhang
Ayonga Hereid
AAML
30
8
0
20 Sep 2022
Fairness and Bias in Robot Learning
Fairness and Bias in Robot Learning
Laura Londoño
Juana Valeria Hurtado
Nora Hertz
P. Kellmeyer
S. Voeneky
Abhinav Valada
FaML
23
9
0
07 Jul 2022
Formalizing and Evaluating Requirements of Perception Systems for
  Automated Vehicles using Spatio-Temporal Perception Logic
Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logic
Mohammad Hekmatnejad
Bardh Hoxha
Jyotirmoy V. Deshmukh
Yezhou Yang
Georgios Fainekos
33
6
0
29 Jun 2022
A Real-time Critical-scenario-generation Framework for Testing
  Autonomous Driving System
A Real-time Critical-scenario-generation Framework for Testing Autonomous Driving System
Yi Xie
Kunpeng Dai
Yong Zhang
11
2
0
02 Jun 2022
Evaluating Automated Driving Planner Robustness against Adversarial
  Influence
Evaluating Automated Driving Planner Robustness against Adversarial Influence
Andres Molina-Markham
Silvia G. Ionescu
Erin Lanus
Derek Ng
Sam Sommerer
J. Rushanan
AAML
34
0
0
29 May 2022
Wasserstein Generative Adversarial Networks for Online Test Generation
  for Cyber Physical Systems
Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical Systems
J. Peltomäki
Frankie Spencer
Ivan Porres
GAN
34
8
0
23 May 2022
Falsification of Multiple Requirements for Cyber-Physical Systems Using
  Online Generative Adversarial Networks and Multi-Armed Bandits
Falsification of Multiple Requirements for Cyber-Physical Systems Using Online Generative Adversarial Networks and Multi-Armed Bandits
J. Peltomäki
Ivan Porres
AAML
23
7
0
23 May 2022
Sample-Based Bounds for Coherent Risk Measures: Applications to Policy
  Synthesis and Verification
Sample-Based Bounds for Coherent Risk Measures: Applications to Policy Synthesis and Verification
Prithvi Akella
Anushri Dixit
M. Ahmadi
J. W. Burdick
Aaron D. Ames
40
21
0
21 Apr 2022
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of
  Autonomous Vehicles with Deep Importance Sampling
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling
Mansur Arief
Zhepeng Cen
Zhen-Yan Liu
Zhiyuan Huang
Henry Lam
Yue Liu
Ding Zhao
UQCV
29
2
0
04 Apr 2022
How Do We Fail? Stress Testing Perception in Autonomous Vehicles
How Do We Fail? Stress Testing Perception in Autonomous Vehicles
Harrison Delecki
Masha Itkina
Bernard Lange
Ransalu Senanayake
Mykel J. Kochenderfer
27
23
0
26 Mar 2022
Verifying Inverse Model Neural Networks
Verifying Inverse Model Neural Networks
Chelsea Sidrane
Sydney M. Katz
Anthony Corso
Mykel J. Kochenderfer
24
2
0
04 Feb 2022
Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap
  Quantification
Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification
Prithvi Akella
Wyatt Ubellacker
Aaron D. Ames
30
4
0
04 Jan 2022
Vehicle trajectory prediction works, but not everywhere
Vehicle trajectory prediction works, but not everywhere
Mohammadhossein Bahari
Saeed Saadatnejad
Ahmad Rahimi
Mohammad Shaverdikondori
M. Shahidzadeh
Seyed-Mohsen Moosavi-Dezfooli
Alexandre Alahi
OffRL
28
52
0
07 Dec 2021
A Survey on Scenario-Based Testing for Automated Driving Systems in
  High-Fidelity Simulation
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation
Ziyuan Zhong
Yun Tang
Yuan Zhou
V. Neves
Yang Liu
Baishakhi Ray
50
61
0
02 Dec 2021
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