ROBY: a Tool for Robustness Analysis of Neural Network Classifiers
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9438541/9438542/09438585.pdf?arnumber=9438585
Cited by 8 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. A Framework for Including Uncertainty in Robustness Evaluation of Bayesian Neural Network Classifiers;Proceedings of the 5th IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning;2024-04-20
2. Quantum-inspired analysis of neural network vulnerabilities: the role of conjugate variables in system attacks;National Science Review;2024-04-11
3. Evaluating Adversarial Robustness with Expected Viable Performance;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15
4. Applications of Machine Learning;Handbook of Artificial Intelligence;2023-11-09
5. Robustness of Artificial Neural Networks Based on Weight Alterations Used for Prediction Purposes;Algorithms;2023-06-29
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