AI Security Based on Deep Learning: Threat Detection, Attack Defense, and Security Assessment

Author: Zen and the Art of Computer Programming

With the continuous development of artificial intelligence technology, the impact on society is increasing. More and more enterprises and individuals rely on AI products or services, and at the same time face various security risks, such as lack of authentication, data leakage, malware, etc. How to ensure the security of AI products and services has become a current and future focus topic. In recent years, deep learning technology has become more and more popular, and has achieved amazing results in many fields, such as image recognition, natural language processing, machine translation, etc. Therefore, the research work on artificial intelligence safety is also rapidly tilting towards the direction of deep learning. Aiming at some security risks of deep learning at present, this article will discuss three main aspects of artificial intelligence security—threat detection, attack defense, and security assessment. This article hopes to teach readers more knowledge and skills about artificial intelligence security based on deep learning by sharing practical experience. Readers can obtain the following information by reading the article:

1. What is Deep Learning? What are its basic characteristics?
2. What are the fundamental security vulnerabilities of deep learning models? and analyze the reasons.
3. What is the rationale for vulnerability detection and protection? Can these vulnerabilities be addressed?
4. What are the limitations and recommendations for AI safety and related laws and regulations? and related policy recommendations.
5. What tools or methods can be used for the security assessment of deep learning models? and their pros and cons.
6. What value has the research work of this paper produced for enterprises and society? What else do we need to do to make deep learning safer?
7. Why did the author create this series of articles?
8. Are there any top international journal papers that may be related to this topic? If so, which one would you recommend?
9. In these aspects, what research or application do we have to provide readers with reference? About the author: , the head of the AI ​​Research Department of the US Marine Corps, graduated from the Computer Science Department of Carnegie Mellon University with a Ph.D., and is currently a researcher at the Google Machine Intelligence Research Institute. The main research direction is the application and security of deep learning in artificial intelligence systems.