Finnish Center for Artificial Intelligence (FCAI) is proud to present a series of longer machine learning coffee sessions on themes of the research programmes of FCAI. These minisymposia will last for ~2 hours and consist of some longer talks and a set of 5-min flash talks. The purpose is both for the researchers already working on the theme to get to know what the others are working on, and for those interested in the theme to get to know who to talk to. Suggestions of flash talk topics are welcome – contact the organizers of the specific symposium.

When? on Monday, May 28, at 9:00-11:00
Where? in seminar room T6, CS building, Otaniemi

Speakers include (feel free to suggest more flash talks to organizers: n.asokan@aalto.fi / antti.honkela@helsinki.fi):

N. Asokan
Machine Learning in the Presence of Adversaries

Luiza Sayfullina
Android Malware Classification: How to Deal With Extremely Sparse Features

Nikolaj Tatti
Reducing False Positives in Intrusion Detection

Mika Juuti
Stealing DNN Models: Attacks and Defenses

Antti Honkela
Differential Privacy and Machine Learning

Mikko Heikkilä
Differentially private Bayesian learning on distributed data

Adrian Flanagan
Privacy Preservation with Federated Learning in Personalized Recommendation Systems

See the full programme of the Coffee series.