IEEE CSF 2024 Workshop
July 8, 2024
Enschede, The Netherlands
CSF Registration
Protect-IT targets to attract studies on security and privacy for machine learning (ML) from an information-theoretic standpoint. Accuracy and efficiency of ML systems are ensured by employing large datasets which usually contain highly sensitive/personal information. This strong dependence on personal information jeopardizes the privacy and security of innocent Internet users who are contributing, knowingly or not, to these online statistical datasets. Protect-IT aims to bring the typical attendees of CSF, who have expertise on the theory of cryptography and (algorithmic) fairness together with researchers on information theory to study, develop, and evaluate privacy, security, and fairness attacks against ML along with defense strategies to counter them. We put information theory at the heart of this endeavor and call for contributions grounded in information-theoretic concepts and principles, aiming to enrich preliminary research efforts and to achieve widespread adoption.
Submission deadline: May 04, 2024, 23:59 (Anywhere on Earth)
May 13, 2024, 23:59 (Anywhere on Earth)
Notification of acceptance: June 04, 2024
We welcome two types of submissions: extended abstracts and posters. Extended abstracts must be at most 4 pages long excluding references and adhere to the CSF format. We encourage submissions of work that is new to the community of data privacy, security and information theory in addition to submissions which are currently under review elsewhere or recently published in privacy and security venues. The workshop will not have formal proceedings, but authors of accepted abstracts can choose to publish their work on the workshop's webpage or to provide a link to arXiv.
All accepted papers have a slot at the poster session. Please print your poster on size up to A0 (841 × 1189 mm) and bring it to the conference.
Submit your abstract/poster