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AI for Security and Security for AI

Published:26 April 2021Publication History

ABSTRACT

On one side, the security industry has successfully adopted some AI-based techniques. Use varies from mitigating denial of service attacks, forensics, intrusion detection systems, homeland security, critical infrastructures protection, sensitive information leakage, access control, and malware detection. On the other side, we see the rise of Adversarial AI. Here the core idea is to subvert AI systems for fun and profit. The methods utilized for the production of AI systems are systematically vulnerable to a new class of vulnerabilities. Adversaries are exploiting these vulnerabilities to alter AI system behavior to serve a malicious end goal. This panel discusses some of these aspects.

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  1. AI for Security and Security for AI

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      • Published in

        cover image ACM Conferences
        CODASPY '21: Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy
        April 2021
        348 pages
        ISBN:9781450381437
        DOI:10.1145/3422337

        Copyright © 2021 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 26 April 2021

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        Acceptance Rates

        Overall Acceptance Rate149of789submissions,19%

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        CODASPY '24

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