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ARCH-COMP21 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants

https://doi.org/10.29007/kfk9
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-30942-8_39openalex-snapshot
Star-Based Reachability Analysis of Deep Neural Networks
inferredcites →https://doi.org/10.1007/978-3-030-53288-8_1openalex-snapshot
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
inferredcites →https://doi.org/10.1007/978-3-030-53288-8_2openalex-snapshot
Verification of Deep Convolutional Neural Networks Using ImageStars
inferredcites →https://doi.org/10.1007/978-3-030-81685-8_11openalex-snapshot
Verisig 2.0: Verification of Neural Network Controllers Using Taylor Model Preconditioning
inferredcites →https://doi.org/10.1007/978-3-0348-8407-5_21openalex-snapshot
An Overview of Nonlinear Model Predictive Control Applications
inferredcites →https://doi.org/10.1007/978-3-319-63387-9_5openalex-snapshot
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
inferredcites →https://doi.org/10.1007/978-3-642-39799-8_18openalex-snapshot
Flow*: An Analyzer for Non-linear Hybrid Systems
inferredcites →https://doi.org/10.1016/j.ifacol.2018.08.026openalex-snapshot
Learning and Verification of Feedback Control Systems using Feedforward Neural Networks
inferredcites →https://doi.org/10.1016/j.neucom.2016.12.038openalex-snapshot
A survey of deep neural network architectures and their applications
inferredcites →https://doi.org/10.1109/87.491203openalex-snapshot
TORA example: cascade- and passivity-based control designs
inferredcites →https://doi.org/10.1109/tnn.1997.557703openalex-snapshot
On the "Identification and control of dynamical systems using neural networks"
inferredcites →https://doi.org/10.1109/tnnls.2018.2808470openalex-snapshot
Output Reachable Set Estimation and Verification for Multilayer Neural Networks
inferredcites →https://doi.org/10.1109/tnnls.2020.2991090openalex-snapshot
Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach
inferredcites →https://doi.org/10.1142/9789812774750_0007openalex-snapshot
Artificial Intelligence and Life
inferredcites →https://doi.org/10.1145/2038642.2038685openalex-snapshot
Formal verification of hybrid systems
inferredcites →https://doi.org/10.1145/2883817.2883837openalex-snapshot
Scalable Static Hybridization Methods for Analysis of Nonlinear Systems
inferredcites →https://doi.org/10.1145/3302504.3311804openalex-snapshot
JuliaReach
inferredcites →https://doi.org/10.1145/3302504.3311807openalex-snapshot
Reachability analysis for neural feedback systems using regressive polynomial rule inference
inferredcites →https://doi.org/10.1145/3358230openalex-snapshot
Safety Verification of Cyber-Physical Systems with Reinforcement Learning Control
inferredcites →https://doi.org/10.1145/3419742openalex-snapshot
Verifying the Safety of Autonomous Systems with Neural Network Controllers
inferredcites →https://doi.org/10.1201/9781351251389-8openalex-snapshot
Adversarial Examples in the Physical World
inferredcites →https://doi.org/10.1561/2400000035openalex-snapshot
Algorithms for Verifying Deep Neural Networks
inferredcites →https://doi.org/10.1609/aimag.v36i4.2577openalex-snapshot
Research Priorities for Robust and Beneficial Artificial Intelligence
inferredcites →https://doi.org/10.21105/joss.01043openalex-snapshot
TaylorSeries.jl: Taylor expansions in one and several variables in Julia
inferredcites →https://doi.org/10.29007/rgv8openalex-snapshot
ARCH-COMP19 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
inferredcites →https://doi.org/10.29007/w19bopenalex-snapshot
Implementation of Interval Arithmetic in CORA 2016
inferredcites →https://doi.org/10.29007/x38nopenalex-snapshot
ARCH-COMP23 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
inferredcites →https://doi.org/10.29007/zzc7openalex-snapshot
Implementation of Taylor models in CORA 2018
inferredcites →https://doi.org/10.4230/lipics.mfcs.2022.4openalex-snapshot
A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers
inferredcites →https://doi.org/10.48550/arxiv.1312.6199openalex-snapshot
Intriguing properties of neural networks
inferredcites →https://doi.org/10.48550/arxiv.1712.08163openalex-snapshot
Reachable Set Computation and Safety Verification for Neural Networks with ReLU Activations
inferredcites →https://doi.org/10.48550/arxiv.1803.06567openalex-snapshot
A Dual Approach to Scalable Verification of Deep Networks
inferredcites →https://doi.org/10.48550/arxiv.1805.09944openalex-snapshot
Reachability Analysis and Safety Verification for Neural Network Control Systems
inferredcites →https://doi.org/10.48550/arxiv.1810.01989openalex-snapshot
Verification for Machine Learning, Autonomy, and Neural Networks Survey
inferredcites →https://doi.org/10.48550/arxiv.1811.01828openalex-snapshot
Verisig: verifying safety properties of hybrid systems with neural network controllers
inferredcites →https://doi.org/10.48550/arxiv.1812.06161openalex-snapshot
Specification-Guided Safety Verification for Feedforward Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1910.11309openalex-snapshot
Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller
inferredcites →https://doi.org/10.48550/arxiv.2109.00498openalex-snapshot
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results
inferredcites →https://doi.org/10.5334/jors.151openalex-snapshot
DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-15839-1_15openalex-snapshot
Reachability Analysis of a General Class of Neural Ordinary Differential Equations
inferred← citeshttps://doi.org/10.1007/978-3-031-37703-7_19openalex-snapshot
NNV 2.0: The Neural Network Verification Tool
inferred← citeshttps://doi.org/10.1007/978-3-031-46002-9_12openalex-snapshot
Track C1: Safety Verification of Deep Neural Networks (DNNs)
inferred← citeshttps://doi.org/10.1007/978-3-031-67695-6_1openalex-snapshot
The ARCH-COMP Friendly Verification Competition for Continuous and Hybrid Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-91118-7_9openalex-snapshot
Neural Network Verification is a Programming Language Challenge
inferred← citeshttps://doi.org/10.1007/978-3-032-32357-6_16openalex-snapshot
Vancomycert: A Certified Neuro-Symbolic Drug Delivery System (Case Study)
inferred← citeshttps://doi.org/10.1109/iccps61052.2024.00008openalex-snapshot
Zero-One Attack: Degrading Closed-Loop Neural Network Control Systems using State-Time Perturbations
inferred← citeshttps://doi.org/10.1109/tcad.2022.3197524openalex-snapshot
NExG: Provable and Guided State-Space Exploration of Neural Network Control Systems Using Sensitivity Approximation
inferred← citeshttps://doi.org/10.1109/tse.2022.3194640openalex-snapshot
FalsifAI: Falsification of AI-Enabled Hybrid Control Systems Guided by Time-Aware Coverage Criteria
inferred← citeshttps://doi.org/10.1109/tse.2023.3282981openalex-snapshot
: A Semantics-Guided Safety Enhancement Framework for AI-Enabled Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1145/3575870.3587129openalex-snapshot
Automatic Abstraction Refinement in Neural Network Verification using Sensitivity Analysis
inferred← citeshttps://doi.org/10.1145/3705307openalex-snapshot
SpectAcle : Fault Localisation of AI-Enabled CPS by Exploiting Sequences of DNN Controller Inferences
inferred← citeshttps://doi.org/10.2514/1.d0255openalex-snapshot
Evaluation of Neural Network Verification Methods for Air-to-Air Collision Avoidance
inferred← citeshttps://doi.org/10.29007/wfgropenalex-snapshot
ARCH-COMP22 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
inferred← citeshttps://doi.org/10.4204/eptcs.371.0.2openalex-snapshot
Formal Verification for Neural Networks in Autonomous Cyber-Physical Systems
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