All videos
All videos
AI meets privacy
October 7, 2019
What security means in the context of AI solution? What is explainable ML? Might neural net be stolen? How adversarial examples may fool neural net? Is it safe to expose API for online training?
The presentation will cover current problems from the area where AI meets privacy. It will cover common concerns and available solutions.
Tags
Other videos that you might like
AutoML at scale
Marcin Szeliga
Building Successful Machine Learning Products
Maciej Dąbrowski
Stream processing in telco – case study based on Apache Flink & TouK Nussknacker
Maciek Próchniak
How to build an AI from zero to learn to play and solve a tough game
Juan Tomás García