The hexatope and octatope abstract domains for neural network verification
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Publication:6661753
DOI10.1007/s10703-024-00457-yMaRDI QIDQ6661753
Taylor Dohmen, Alvaro Velasquez, K. Subramani and Vahan Mkrtchyan, Ashutosh Trivedi, Piotr J. Wojciechowski, Stanley Bak
Publication date: 13 January 2025
Published in: Formal Methods in System Design (Search for Journal in Brave)
zonotopesstar setsabstract domainsdifference constraint systemneural network verificationunit-two-variables-per-inequality (UTVPI) constaint system
Cites Work
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- Robustness verification of semantic segmentation neural networks using relaxed reachability
- The octagon abstract domain
- A survey of safety and trustworthiness of deep neural networks: verification, testing, adversarial attack and defence, and interpretability
- Safety verification of deep neural networks
- Reluplex: an efficient SMT solver for verifying deep neural networks
- Verification of deep convolutional neural networks using ImageStars
- Improved geometric path enumeration for verifying ReLU neural networks
- Finding minimum-cost circulations by canceling negative cycles
- Parsimonious, Simulation Based Verification of Linear Systems
- Solving Linear Programs in the Current Matrix Multiplication Time
- Subexponential lower bounds for randomized pivoting rules for the simplex algorithm
- Frontiers of Combining Systems
- The octatope abstract domain for verification of neural networks
- Star-based reachability analysis of deep neural networks
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