Logic, Machine Learning, and Security

被引:0
作者
Subrahmanian, V. S. [1 ]
机构
[1] Dartmouth Coll, Inst Secur Technol & Soc, Dept Comp Sci, Hanover, NH 03755 USA
来源
FLEXIBLE QUERY ANSWERING SYSTEMS | 2019年 / 11529卷
关键词
Logic; Deception; Counter-terrorism; Machine learning; AI; Cybersecurity; PROBABILISTIC LOGIC;
D O I
10.1007/978-3-030-27629-4_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:3 / 6
页数:4
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