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The IACR Privacy-Preserving Machine Learning (PPML) summer school will soon be organized at the IDEAS NCBR headquarters.

This is an offer addressed to students of master’s studies, doctoral students, postdocs from Poland and abroad, primarily in the fields of cryptography, mathematics, and theoretical computer science.

Privacy in machine learning is an important and exciting research topic that focuses on how to reap the benefits of machine learning techniques while keeping training data and learned models private.

In the second edition of the IACR Privacy-Preserving Machine Learning (PPML) school, lecturers with theoretical and practical experience will discuss a wide range of issues related to this topic, such as secure computing, differential privacy or federated learning.

More information and registration link:

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