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AISec '22: 15th ACM Workshop on Artificial Intelligence and Security

Published: 07 November 2022 Publication History

Abstract

Recent years have seen a dramatic increase in applications of Artificial Intelligence (AI), Machine Learning (ML), and data mining to security and privacy problems. The analytic tools and intelligent behavior provided by these techniques make AI and ML increasingly important for autonomous real-time analysis and decision making in domains with a wealth of data or that require quick reactions to constantly changing situations. The use of learning methods in security-sensitive domains, in which adversaries may attempt to mislead or evade intelligent machines, creates new frontiers for security research. The recent widespread adoption of "deep learning" techniques, whose security properties are difficult to reason about directly, has only added to the importance of this research. In addition, data mining and machine learning techniques create a wealth of privacy issues, due to the abundance and accessibility of data. The AISec workshop provides a venue for presenting and discussing new developments in the intersection of security and privacy with AI and machine learning.

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  1. AISec '22: 15th ACM Workshop on Artificial Intelligence and Security

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        cover image ACM Conferences
        CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
        November 2022
        3598 pages
        ISBN:9781450394505
        DOI:10.1145/3548606
        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.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 07 November 2022

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        Author Tags

        1. adversarial machine learning
        2. artificial intelligence
        3. privacy
        4. security

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        CCS '22
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        Overall Acceptance Rate 1,261 of 6,999 submissions, 18%

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        CCS '24
        ACM SIGSAC Conference on Computer and Communications Security
        October 14 - 18, 2024
        Salt Lake City , UT , USA

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