The topic Apple shares recordings and research from recent privacy-focused AI and ML workshop is currently the subject of lively discussion — readers and analysts are keeping a close eye on developments.
This is taking place in a dynamic environment: companies’ decisions and competitors’ reactions can quickly change the picture.
Apple has published four recordings and a research recap from its 2026 Workshop on Privacy-Preserving Machine Learning & AI. Here are the details.
Apple has published a new post on its machine learning blog with four featured talks from its 2026 Workshop on Privacy-Preserving Machine Learning & AI.
In this two-day event, Apple researchers and members from the broader research community discussed “the latest in privacy-preserving ML and AI,” focusing on Private Learning and Statistics, Foundation Models and Privacy, and Attacks and Security.
Presentations and discussions at the workshop explored advances and open questions in privacy and ML, including federated learning, statistical learning, trust models, attacks, privacy accounting, and the unique challenges presented by foundation models. These research areas ground innovation in rigorous privacy and security evaluation, bridging theoretical frameworks with real-world applications.
In its blog post, Apple featured four talks, including the ‘Crypto for DP and DP for Crypto’ presentation, given by the company’s Research Scientist Kunal Talwar.
Apple also highlighted 24 published works presented at the workshop, including three papers developed by current and former researchers at the company:
To watch all the sessions and see the full list of referenced papers, follow this link.