Call for papers: Privacy Preserving Machine Learning -- ACM CCS 2021 Workshop
November 19, 2021
Website: https://ppml-workshop.github.io/

# Description

This one day workshop focuses on privacy preserving techniques for training, inference, and disclosure in large scale data analysis, both in the distributed and centralized settings. We have observed increasing interest of the Machine Learning (ML) community in leveraging cryptographic techniques such as Multi-Party Computation (MPC) and Homomorphic Encryption (HE) for privacy preserving training and inference, as well as Differential Privacy (DP) for disclosure. Simultaneously, the systems security and cryptography community has proposed various secure frameworks for ML. We encourage both theory and application-oriented submissions exploring a range of approaches, including:

* Differential privacy and other statistical notions of privacy: theory, applications, and implementations
* Secure multi-party computation techniques for ML
* Learning on encrypted data
* Hardware-based approaches to privacy-preserving ML
* Trade-offs between privacy and utility
* Privacy attacks
* Federated and decentralized privacy-preserving algorithms
* Programming languages for privacy-preserving data analysis
* Policy-making aspects of data privacy
* Interplay between privacy and adversarial robustness in machine learning
* Relations between privacy, fairness and transparency
* Applications of privacy-preserving ML

# Submission instructions

Submissions in the form of extended abstracts must be at most 4 pages long (not including references), using the double-column ACM format. We encourage submission of work that is new to the privacy-preserving machine learning community. Submissions should be anonymized. The workshop will not have formal proceedings, but authors of accepted abstracts can choose to have a link to arxiv or a pdf published on the workshop webpage. Authors of accepted papers are required to register for the workshop but can present their work remotely.

Submission url: https://ppml21.hotcrp.com
Submission deadline: August 1, 2021
Notification of acceptance: September 16, 2021
Workshop: November 19, 2021

# Organizers

James Bell (The Alan Turing Institute)
Aurélien Bellet (INRIA)
Adrià Gascón (Google)
Olya Ohrimenko (University of Melbourne)
Mariana Raykova (Google)
Phillipp Schoppmann (Google)
Carmela Troncoso (EPFL)