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
Trained scikit-learn model refinery with open-source packages
Dorota Lączak, Maria Oleszkiewicz
Probabilistic data structures for Kafka Streams
Mateusz Owczarek, Miron Ficak
Descriptive statistics – the mighty dwarf of data science
Paweł Rzeszuciński
Explaining neural networks predictions
Matthew Opala