This two-and-a-half-day hands-on masterclass starts with an overview
of Artificial Intelligence (AI) algorithms and explores the threat
model space of different AI techniques. It then provides an in-depth
analysis of different AI adversarial attacks including adversarial
poisoning attacks, adversarial evasion attacks, adversarial attacks
against malware detection and differential privacy and model theft
techniques.
The course is concluded with defense mechanisms to protect AI engines
from adversarial attacks and reviews different testing techniques to
identify vulnerabilities of different AI engines against adversarial
learning techniques.
What you will learn from this Masterclass:
* IDENTIFY the threat model space of different Artificial
Intelligence (AI) techniques.
* UNDERSTAND and ANALYSE different AI adversarial attacks.
* LEARN defense mechanisms to protect AI engines from attacks.
* REVIEW different testing techniques to identify vulnerabilities of
different AI engines.
* IDENTIFY critical AI usages within your organisation and your
roadmap.
* EXECUTE security modeling for AI usages (threats, adversaries,
attack vectors).
* BETTER understanding of secure incorporation of AI technology.
workshop
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30/11/2019 Last update