Differential Privacy and Unlearning in Machine Learning

Overview

Workshop 1 is part of the Data Privacy in Machine Learning P1 program. The workshop will bring together tutorials, invited talks, and contributed talks on differential privacy, machine unlearning, and privacy-preserving machine learning.

The program includes tutorials on differential privacy and machine unlearning, invited talks by Antti Honkela, Graham Cormode, and Anastasiia Koloskova, and contributed talks selected through the call for contributions.

Registration

Register for the workshop

Speakers

Antti Honkela

Professor of Data Science, University of Helsinki

Graham Cormode

Professor of Computer Science, University of Oxford

Anastasiia Koloskova

Assistant Professor of AI and Optimization, UZH

Call for Contributions

We are seeking submissions for 15-20 minute talks on topics related to privacy-preserving machine learning and unlearning. The workshop will not have a poster session.

Topics of interest include:

• Theory and applications of differential privacy
• Theory and applications of machine unlearning
• Relaxations of differential privacy, and relation to other privacy notions and methods
• Unlearning in large language models
• Attacks and auditing of privacy and unlearning
• Any other topic related to the core theme of the workshop

Preliminary Agenda

Venue

Lokale: Aud 02 AKB, Universitetsparken 13

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Related Events in Copenhagen

• CPM 2026 Summer School on Strings & Privacy, June 13-14, 2026
• Learning Theory Summer School and Workshop Copenhagen, June 22-27, 2026