Logic, Machine Learning, and Security

V. S. Subrahmanian*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Logic stands at the very heart of computer science. In this talk, I will argue that logic is also an essential part of machine learning and that it has a fundamental role to play in both international security and counter-terrorism. I will first briefly describe the use of logic for high-level reasoning in counter-terrorism applications and then describe the BEEF system to explain the forecasts generated by virtually any machine learning classifier. Finally, I will describe one use of logic in deceiving cyber-adversaries who may have successfully compromised an enterprise network.

Original languageEnglish (US)
Title of host publicationFlexible Query Answering Systems - 13th International Conference, FQAS 2019, Proceedings
EditorsAlfredo Cuzzocrea, Sergio Greco, Domenico Saccà, Henrik Legind Larsen, Troels Andreasen, Henning Christiansen
PublisherSpringer Verlag
Pages3-6
Number of pages4
ISBN (Print)9783030276287
DOIs
StatePublished - 2019
Externally publishedYes
Event13th International Conference on Flexible Query Answering Systems, FQAS 2019 - Amantea, Italy
Duration: Jul 2 2019Jul 5 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11529 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Flexible Query Answering Systems, FQAS 2019
Country/TerritoryItaly
CityAmantea
Period7/2/197/5/19

Keywords

  • AI
  • Counter-terrorism
  • Cybersecurity
  • Deception
  • Logic
  • Machine learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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