Bridging formal methods and machine learning with model checking and global optimisation-Reference-Cited by-同舟云学术

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Bridging formal methods and machine learning with model checking and global optimisation

Published:2024-02 Issue: Volume:137 Page:100941
ISSN:2352-2208
Container-title:Journal of Logical and Algebraic Methods in Programming
language:en
Short-container-title:Journal of Logical and Algebraic Methods in Programming

Author:

Bensalem Saddek,Huang Xiaowei^ORCID,Ruan Wenjie,Tang Qiyi,Wu Changshun,Zhao Xingyu

Funder

Engineering and Physical Sciences Research Council

Horizon 2020

Publisher

Elsevier BV

Subject

Software,Theoretical Computer Science,Computational Theory and Mathematics,Logic

Reference59 articles.

1. Intriguing properties of neural networks;Szegedy,2014

2. Why do adversarial attacks transfer? Explaining transferability of evasion and poisoning attacks;Demontis,2019

3. Knockoff nets: stealing functionality of black-box models;Orekondy,2019

4. Neural network inversion in adversarial setting via background knowledge alignment;Yang,2019

5. Dimba: discretely masked black-box attack in single object tracking;Yin;Mach. Learn.,2022

Cited by 1 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. Formal verification of robustness and resilience of learning-enabled state estimation systems;Neurocomputing;2024-06

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