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ART: Abstraction Refinement-Guided Training for Provably Correct Neural
  Networks

ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks

17 July 2019
Xuankang Lin
He Zhu
R. Samanta
Suresh Jagannathan
    AAML
ArXivPDFHTML

Papers citing "ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks"

3 / 3 papers shown
Title
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis
Long Kiu Chung
Shreyas Kousik
78
0
0
22 Jan 2025
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint
  Satisfaction
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction
Kshitij Goyal
Sebastijan Dumancic
Hendrik Blockeel
13
2
0
02 Mar 2023
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
219
1,818
0
03 Feb 2017
1