Reposted by Thorsten EisenhoferConference on Secure and Trustworthy Machine Learning @satml.org · 10/04/2025🔐 Forget it, securely. @eisenhofer.bsky.social l presents a framework for verifiable and provably secure machine unlearning. Paper: arxiv.org/abs/2210.09126 #SaTML25 141
Reposted by Thorsten EisenhoferKonrad Rieck 🌈 @rieck.mlsec.org · 10/04/2025Great to be at @satml.org with several members of my team from @bifold.berlin and @tuberlin.bsky.social. We are having a blast with exciting discussions and talks on trustworthy AI! #SaTML25 1153
Reposted by Thorsten EisenhoferBIFOLD Berlin Institute for the Foundations of Learning and Data @bifold.berlin · 09/04/2025#SaTML2025 This paper introduces a new framework for cryptographically proving the correct deletion of user data from machine learning models. www.bifold.berlin/news-events/... @satml.org @tuberlin.bsky.social 152
Reposted by Thorsten EisenhoferConference on Secure and Trustworthy Machine Learning @satml.org · 09/04/2025👋 Welcome to #SaTML25! Kicking things off with opening remarks --- excited for a packed schedule of keynotes, talks and competitions on secure and trustworthy machine learning. 163