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abstract

AISec'19: 12th ACM Workshop on Artificial Intelligence and Security

Published: 06 November 2019 Publication History

Abstract

Recent years have seen a dramatic increase in applications of Artificial Intelligence (AI) and Machine Learning (ML) 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 12th ACM Workshop on Artificial Intelligence and Security (AISec) is one of the historical, leading venues for presenting and discussing new developments in the intersection of security and privacy with AI and ML.

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  1. AISec'19: 12th ACM Workshop on Artificial Intelligence and Security

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      cover image ACM Conferences
      CCS '19: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
      November 2019
      2755 pages
      ISBN:9781450367479
      DOI:10.1145/3319535
      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: 06 November 2019

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      Author Tags

      1. artificial intelligence
      2. computer security
      3. machine learning

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      CCS '19
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      Acceptance Rates

      CCS '19 Paper Acceptance Rate 149 of 934 submissions, 16%;
      Overall Acceptance Rate 1,261 of 6,999 submissions, 18%

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      CCS '25

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