Attacks Against Artificial Intelligence Systems: Classification, The Threat Model and the Approach to Protection-Reference-Cited by-同舟云学术

Attacks Against Artificial Intelligence Systems: Classification, The Threat Model and the Approach to Protection

Published:2022-10-31 Issue: Volume: Page:293-302
ISSN:2367-3370
Container-title:Proceedings of the Sixth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’22)
language:
Short-container-title:

Author:

Kotenko Igor^ORCID,Saenko Igor^ORCID,Lauta Oleg^ORCID,Vasiliev Nikita^ORCID,Kribel Ksenia^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19620-1_28

Reference22 articles.

1. Clark, G., Doran, M., Glisson, W.: A malicious attack on the machine learning policy of a robotic system. In: 2018 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/12th IEEE International Conference on Big Data Science and Engineering (TrustCom/BigDataSE), pp. 516–521. IEEE (2018)

2. Shokri, R., Stronati, M., Song, C., Shmatikov, V.: Membership inference attacks against machine learning models. In: 2017 IEEE Symposium on Security and Privacy (SP), pp. 3–18. IEEE (2017)

3. Choi, C.Q.: 7 revealing ways AIs fail: neural networks can be disastrously brittle, forgetful, and surprisingly bad at math. IEEE Spectr. 58(10), 42–47 (2021)

4. Kotenko, I., Chechulin, A.: Computer attack modeling and security evaluation based on attack graphs. In: 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), pp. 614–619. IEEE (2013)

5. Gorodetski, V., Kotenko, I.: The multi-agent systems for computer network security assurance: frameworks and case studies. In: 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS 2002), pp. 297–302. IEEE (2002)

Cited by 2 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. Countering Adversarial Zeroth Order Optimization Attacks Based on Neural-Cleanse, Gaussian and Poisson Noise Adding;2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2024-05-20

2. Attacks Against Machine Learning Systems: Analysis and GAN-based Approach to Protection;Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23);2023