Litcius/Paper detail

AI for Security and Security for AI

Elisa Bertino, Murat Kantarcıoğlu, Cüneyt Gürcan Akçora, Sagar Samtani, Sudip Mittal, Maanak Gupta

202161 citationsDOI

Abstract

On one side, the security industry has successfully adopted some AI-based techniques. Use varies from mitigating denial of service attacks, forensics, intrusion detection systems, homeland security, critical infrastructures protection, sensitive information leakage, access control, and malware detection. On the other side, we see the rise of Adversarial AI. Here the core idea is to subvert AI systems for fun and profit. The methods utilized for the production of AI systems are systematically vulnerable to a new class of vulnerabilities. Adversaries are exploiting these vulnerabilities to alter AI system behavior to serve a malicious end goal. This panel discusses some of these aspects.

Topics & Concepts

Computer securityComputer scienceMalwareDenial-of-service attackIntrusion detection systemIntrusion prevention systemAdversarial systemSandbox (software development)Artificial intelligenceWorld Wide WebThe InternetSoftware engineeringNetwork Security and Intrusion DetectionAdvanced Malware Detection TechniquesAdversarial Robustness in Machine Learning