Titlebook: Computer Aided Verification; 33rd International C Alexandra Silva,K. Rustan M. Leino Conference proceedings‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if

Fibrillation

0302-9743 and synthesis...Part II: complexity and termination; decision procedures and solvers; hardware and model checking; logical foundations; and software verification..This is an open access book..978-3-030-81684-1978-3-030-81685-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

Heart-Attack

colony

NN,: Constraint-Based Repair of Neural Network Classifiersttacks. Our evaluation on MNIST and CIFAR-10 models shows that . can improve the accuracy by 45.56% points on poisoned data and 10.40% points on adversarial data. . also provides small improvement in the overall accuracy of models, without requiring new data or re-training.

小说

Automated Safety Verification of Programs Invoking Neural Networksy interaction between programs and neural networks. Our technique provides a tight two-way integration of a program and a neural-network analysis and is formalized in a general framework based on abstract interpretation. We evaluate its effectiveness on 26 variants of a widely used, restricted autonomous-driving benchmark.

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改正

光明正大

有特色

https://doi.org/10.1007/978-3-322-88430-5 10 benchmarks and compare Verisig 2.0 against three state-of-the-art verification tools. We show that Verisig 2.0 is both more accurate and faster, achieving speed-ups of up to 21x and 268x against different tools, respectively.