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Oct 24

Adversarial Attacks and Defenses in Machine Learning

October 24 @ 7:00 pm - 8:00 pm EEST

Recent breakthroughs in Computer Vision, Natural Language Processing, and Speech Recognition are bringing Machine Learning (ML) models into the center of security-critical applications including autonomous driving, face recognition, and healthcare. These developments make security aspects of ML increasingly important.

Join MIT PhD candidate Hadi Salman in a FREE talk about “Adversarial Attacks and Defenses in Machine Learning” next Monday, October 24th from 7:00 to 8:00 PM (GMT+3).

During this free talk, Hadi will:

:white_check_mark: Give an overview of one serious security vulnerability in ML models, namely their susceptibility to adversarial examples.

:white_check_mark: Cover various methods to generate such adversarial examples, aka adversarial attacks.

:white_check_mark: Go over strategies to defend against these attacks.

:white_check_mark: Answer your questions about the topic.

P.S. The talk requires no prior knowledge beyond basic understanding of Machine Learning.

Join our VIP membership to watch the recording.


October 24
7:00 pm - 8:00 pm EEST