PPML 2025
August 17, 2025
Santa Barbara, USA
Affiliated Event: The 7th Privacy-Preserving Machine Learning Workshop 2025
About
Artificial intelligence is progressing rapidly. Systems based on machine learning algorithms approach and sometimes even exceed the abilities of human experts. Applications of machine learning involve almost every aspect of our lives, from health care and DNA sequence classification, to financial markets, computer networks and many more. Machine learning algorithms perform better when being exposed to more and more data, but such data is not always accessible due to privacy constraints. Can we train machine learning algorithms on confidential data without ever being exposed to it? Can my model classify your sample without ever seeing it?
The workshop aims to strengthen collaborations among the machine learning and cryptography communities. The scope includes privacy preserving techniques for training, inference, and disclosure. The workshop will consist of few invited talks, together with contributed talks.
Date of Event
August 17, 2025 (Sunday)
Registration
The workshop is an affiliated event of CRYPTO 2025. To register to the workshop, please register to CRYPTO 2025, and mark in the registration form the PPML workshop.
Location
The workshop will be in-person.
Invited Speakers
(Tentative) Program
The time displayed is in Pacific Daylight Time (GMT-7).
Call for Contributed Talks
There will be a session of contributed talks.
We encourage submissions exploring a range of techniques and applications for privacy preserving machine learning, including, but not limited to:
- Multiparty computation
- Homomorphic encryption
- Differential privacy
- Adversarial machine learning
- Model stealing
- Fairness and accountability
- Federated Learning
- Synthetic data generation
Submission deadline:
Submission server: https://easychair.org/my/conference?conf=cryptoppml2025
The deadline for contributed talks is Sunday, June 15th, 2025
Notification will be sent out no later than Sunday, June 22nd, 2025
Notifications: TBA.
Submissions must comply with the following rules:
- We encourage submitting full papers. Abstracts can also be provided.
- Submissions must be non-anonymous and must clearly specify which author will give the talk.
- The submission should provide sufficient detail to explain what the talk will be about.
- As the workshop does not have formal proceedings, we accept contributed talk proposals which correspond to papers that are under submission or already published elsewhere (parallel submissions are allowed).
The committee will follow COI standards according to the IACR policy. Contributed Talks Committee members are allowed to submit as well.
Contributed Talks Committee
- Gilad Asharov (Bar-Ilan University) – organizer
- Carsten Baum (DTU Copenhagen)
- Nishanth Chandran (Microsoft Research)
- Bernardo David (IT University of Copenhagen (ITU))
- Sanjam Garg (University of California, Berkeley)
- Dov Gordon (George Mason University)
- Carmit Hazay (Bar-Ilan University)
- Harish Karthikeyan (JP Morgan AI Research) – organizer
- Parker Newton (Amazon)
- Melek Önen (EURECOM)
- Rafail Ostrovsky (UCLA) – organizer
- Antigoni Polychroniadou (JP Morgan AI Research) – organizer
- Mariana Raykova (Google) – organizer
- Phillipp Schoppmann (Google)
- Adam Sealfron (Google)
- Elaine Shi (CMU)
- Ni Trieu (Arizona State University)
- Vassilis Zikas (Georgia Tech)
Organizers
- Gilad Asharov (Bar-Ilan University)
- Harish Karthikeyan (JP Morgan AI Research)
- Rafail Ostrovsky (UCLA)
- Antigoni Polychroniadou (JP Morgan AI Research)
- Mariana Raykova (Google)
Contact email: CRYPTO.PPML@gmail.com