Scalable Quantitative Verification For Deep Neural Networks

Author:

Baluta Teodora,Chua Zheng Leong,Meel Kuldeep S.,Saxena Prateek

Publisher

IEEE

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Taming Reachability Analysis of DNN-Controlled Systems via Abstraction-Based Training;Lecture Notes in Computer Science;2023-12-30

2. gRoMA: A Tool for Measuring the Global Robustness of Deep Neural Networks;Bridging the Gap Between AI and Reality;2023-12-14

3. The Case for Scalable Quantitative Neural Network Analysis;Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components;2023-12-04

4. Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

5. Quantitative Robustness Analysis of Neural Networks;Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis;2023-07-12

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