Apple shares recordings and research from recent privacy-focused AI and ML workshop

Apple published four talk recordings and a recap from its 2026 privacy-preserving ML and AI workshop.

The event covered differential privacy, matrix factorization, responsible data collection, and foundation-model memorization.

Apple also highlighted 24 related papers from researchers at Apple and universities including Toronto, Georgetown, and CISPA.

The workshop points to open problems in building AI systems that protect user data while remaining useful and scalable.