Full papers
Up to 4 pages (excluding references, acknowledgments, or appendices), submitted via OpenReview, with double-blind review; accepted papers receive either a poster or talk slot.
The Second Workshop on the Impact of Memorization on Trustworthy Foundation Models at ICML
The MemFM 2026 workshop, held in conjunction with ICML 2026 in Seoul, focuses on the critical issue of unintended memorization in foundation models and its impact on trustworthiness, privacy, and ethical AI. It brings together researchers across machine learning security, data privacy, and AI ethics to explore detection, mitigation, theoretical foundations, and societal implications of memorization in high-stakes applications.
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Up to 4 pages (excluding references, acknowledgments, or appendices), submitted via OpenReview, with double-blind review; accepted papers receive either a poster or talk slot.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026