{"id":23218,"date":"2026-07-03T13:39:57","date_gmt":"2026-07-03T10:39:57","guid":{"rendered":"https:\/\/grnet.gr\/?p=23218"},"modified":"2026-07-03T13:39:58","modified_gmt":"2026-07-03T10:39:58","slug":"pharos-ai-factory-training-series-course-11-assessing-and-mitigating-privacy-risks-in-machine-learning-and-data-intensive-environments-on-july-14th-2026","status":"publish","type":"post","link":"https:\/\/grnet.gr\/en\/2026\/07\/03\/pharos-ai-factory-training-series-course-11-assessing-and-mitigating-privacy-risks-in-machine-learning-and-data-intensive-environments-on-july-14th-2026\/","title":{"rendered":"PHAROS AI Factory Training Series &#8211; Course 11 &#8220;Assessing and Mitigating Privacy Risks in Machine Learning and Data-Intensive Environments&#8221;, on July 14th, 2026"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>PHAROS AI Factory<\/strong>&nbsp;announces the&nbsp;<strong>11th Course<\/strong>&nbsp;of its&nbsp;<strong>Training Series<\/strong>,&nbsp;<strong>Topic AI Ethics<\/strong>: &#8220;<strong>Assessing and Mitigating Privacy Risks in Machine Learning and Data-Intensive Environments<\/strong>&#8220;, held online via Zoom on July 14th, 2026.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Presentation language<\/strong>: Greek<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Audience<\/strong>: Compliance Officers, Healthcare Experts<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Location<\/strong>: Online via Zoom (you will get the zoom link upon registration)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Learning Objectives<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Understand the privacy challenges introduced by modern data sharing and machine learning applications.\u00a0<\/li>\n\n\n\n<li>Learn the legal and technical differences between anonymization and pseudonymization under GDPR.\u00a0<\/li>\n\n\n\n<li>Become familiar with established anonymization techniques, including k-anonymity and km-anonymity, and understand their applicability and limitations.\u00a0<\/li>\n\n\n\n<li>Understand the principles of differential privacy and its role in privacy-preserving data analysis and machine learning.\u00a0<\/li>\n\n\n\n<li>Gain practical experience using the Amnesia anonymization platform.\u00a0<\/li>\n\n\n\n<li>Understand the most important privacy attacks targeting machine learning models and training datasets.\u00a0<\/li>\n\n\n\n<li>Learn about privacy-preserving machine learning approaches, including federated learning and differential privacy.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The course\u2019s agenda can be found&nbsp;<a href=\"https:\/\/events.grnet.gr\/event\/217\/timetable\/\">here<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Register to attend by filling out the form&nbsp;<\/strong><a href=\"https:\/\/events.grnet.gr\/event\/217\/registrations\/155\/\"><strong>here<\/strong><\/a><strong>.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>PHAROS AI Factory&nbsp;announces the&nbsp;11th Course&nbsp;of its&nbsp;Training Series,&nbsp;Topic AI Ethics: &#8220;Assessing and Mitigating Privacy Risks in Machine Learning and Data-Intensive Environments&#8220;, held online via Zoom on July 14th, 2026.&nbsp; Presentation language: Greek Audience: Compliance Officers, Healthcare Experts Location: Online via Zoom (you will get the zoom link upon registration) Learning Objectives: The course\u2019s agenda can be [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":23219,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[294,355,490],"tags":[],"class_list":["post-23218","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events-en","category-news-en","category-news_en-en"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/23218","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/comments?post=23218"}],"version-history":[{"count":1,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/23218\/revisions"}],"predecessor-version":[{"id":23221,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/posts\/23218\/revisions\/23221"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/media\/23219"}],"wp:attachment":[{"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/media?parent=23218"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/categories?post=23218"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/grnet.gr\/en\/wp-json\/wp\/v2\/tags?post=23218"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}