AISec'19: 12th ACM workshop on artificial intelligence and security

Sadia Afroz, Battista Biggio, Nicholas Carlini, Yuval Elovici, Asaf Shabtai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationCCS 2019 - Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery
Pages2707-2708
Number of pages2
ISBN (Electronic)9781450367479
DOIs
StatePublished - 6 Nov 2019
Event26th ACM SIGSAC Conference on Computer and Communications Security, CCS 2019 - London, United Kingdom
Duration: 11 Nov 201915 Nov 2019

Publication series

NameProceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)1543-7221

Conference

Conference26th ACM SIGSAC Conference on Computer and Communications Security, CCS 2019
Country/TerritoryUnited Kingdom
CityLondon
Period11/11/1915/11/19

Keywords

  • Artificial Intelligence
  • Computer Security
  • Machine Learning

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