PyData Global 2022

Liron Faybish

Liron is a Data Scientist at PayPal for more than 5 years. She works for the cyber security threat oversight team in the information security organization. Her focus is finding machine learning solutions for information security problems in general and specifically for insider frauds threats.

Liron holds a Msc in software and information systems engineering. In her thesis she researched the field of user verification on mobile devices using sequences of touch gestures. The full paper of this thesis was published at PAKDD 2018 conference, and also she published an extended abstract of this research in UMAP 2017 conference.

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Sessions

12-01
11:30
30min
Detecting anomalous sequences using text processing methods
Liron Faybish

Hello wait you talk see to can’t all my in!

Sounds weird, right?! Detecting abnormal sequences is a common problem.
Join my talk to see how this problem involves Bert, Word2vec, and Autoencoders, and learn how you can also apply it to information security

Talk Track II