<\/p>\n\n\n\n
This is an offer addressed to students of master\u2019s studies, doctoral students, postdocs from Poland and abroad, primarily in the fields of cryptography, mathematics, and theoretical computer science.<\/p>\n\n\n\n
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.<\/p>\n\n\n\n
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.<\/p>\n\n\n\n
Event agenda:<\/strong><\/p>\n\n\n\n The IACR Privacy-Preserving Machine Learning (PPML) summer school will soon be organized at the IDEAS NCBR headquarters.<\/p>\n","protected":false},"featured_media":19147,"menu_order":0,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"kategoria_wydarzenia":[],"class_list":["post-19155","wydarzenia","type-wydarzenia","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/wydarzenia\/19155","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/wydarzenia"}],"about":[{"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/types\/wydarzenia"}],"version-history":[{"count":6,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/wydarzenia\/19155\/revisions"}],"predecessor-version":[{"id":22373,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/wydarzenia\/19155\/revisions\/22373"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/media\/19147"}],"wp:attachment":[{"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/media?parent=19155"}],"wp:term":[{"taxonomy":"kategoria_wydarzenia","embeddable":true,"href":"https:\/\/ideas-ncbr.pl\/en\/wp-json\/wp\/v2\/kategoria_wydarzenia?post=19155"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}from<\/strong><\/td> to<\/strong><\/td> Monday<\/strong><\/td> Tuesday<\/strong><\/td> Wednesday<\/strong><\/td> Thursday<\/strong><\/td><\/tr> 09:20<\/td> 09:30<\/td> Stefan Dziembowski \u2013 opening remarks<\/td> <\/td><\/tr> 09:30<\/td> 11:00<\/td> Rafael Dowsley \u2013 A ML crash course for the school<\/td> Nishanth Chandran \u2013 MPC & ML 2<\/td> Emiliano de Cristofaro \u2013 Synthetic data
(online talk)<\/td><\/td><\/tr> 11:00<\/td> 11:30<\/td> break<\/strong><\/td> break<\/strong><\/td> break<\/strong><\/td> break<\/strong><\/td><\/tr> 11:30<\/td> 13:00<\/td> Nishanth Chandran \u2013 MPC and ML 1<\/td> Peter Kairouz \u2013 Federated Learning & Differential Privacy 1<\/td> Celia Kherfallah \u2013 TFHE in action using concrete-ML<\/td> Peter Kairouz \u2013 Federated Learning & Differential Privacy 2<\/td><\/tr> 13:00<\/td> 14:30<\/td> break<\/strong><\/strong><\/td> break<\/strong><\/strong><\/td> break<\/strong><\/strong><\/td> break<\/strong><\/td><\/tr> 14:30<\/td> 16:00<\/td> Yuriy Polyakov \u2013 FHE for ML<\/td> Yang Zhang \u2013 Model extraction & membership inference<\/td> Yang Zhang \u2013 Backdoor attacks and other fun attacks<\/td> Peter Kairouz \u2013 Federated Learning & Differential Privacy 3 (finishing at 15:30)<\/td><\/tr> 16:00<\/td> 16:30<\/td> break<\/strong><\/td> break<\/strong><\/td> break<\/strong><\/td> <\/td><\/tr> 16:30<\/td> 18:00<\/td> Yuriy Polyakov \u2013 FHE in action using Open FHE<\/td> Rafael Dowsley \u2013 PPML, just not for Deep Neural Nets<\/td> Dr. Gra\u017cyna \u017bebrowska (IDEAS NCBR board member) \u2013Research and development at IDEAS NCBR<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"