skip to main content
10.1145/3372297.3416247acmconferencesArticle/Chapter ViewAbstractPublication PagesccsConference Proceedingsconference-collections
abstract

AISec'20: 13th Workshop on Artificial Intelligence and Security

Published:02 November 2020Publication 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.

Index Terms

  1. AISec'20: 13th Workshop on Artificial Intelligence and Security

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CCS '20: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security
        October 2020
        2180 pages
        ISBN:9781450370899
        DOI:10.1145/3372297

        Copyright © 2020 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: 2 November 2020

        Check for updates

        Qualifiers

        • abstract

        Acceptance Rates

        Overall Acceptance Rate1,261of6,999submissions,18%

        Upcoming Conference

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

        • Downloads (Last 12 months)27
        • Downloads (Last 6 weeks)2

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader