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ACM CIKM PAS 2023 : The First International Workshop on Privacy Algorithms in Systems
ACM CIKM PAS 2023 : The First International Workshop on Privacy Algorithms in Systems

ACM CIKM PAS 2023 : The First International Workshop on Privacy Algorithms in Systems

ATlanta, GA
Event Date: October 17, 2022 - October 21, 2022
Submission Deadline: August 29, 2022
Notification of Acceptance: September 15, 2022
Camera Ready Version Due: September 30, 2022




Call for Papers

Recently privacy has been widely used in many scientific domains and everyday communications and systems. Even privacy regulations have been developed on a national and international level. Privacy topic affects all kinds of complex datasets such as text, video, audio, image, streaming, and graph format. They are produced by surveillance systems, home management systems, user tracking devices, data storage, communication systems, social networks, etc. Machine learning/decision making algorithmic systems have been widely adopted to facilitate efficient systems. As our ability to generate and collect data constantly increases unprecedentedly, the complex data we are facing in the modern era are becoming more and more diverse and large-scale. This raises privacy concerns for users, systems, and infrastructure, leading to more efforts to develop effective privacy preservation algorithms and deploy them efficiently for real-world applications.

This workshop aims to discuss the recent research progress of privacy algorithms in both theoretical foundations and practical applications for systems. We invite submissions that focus on recent advances in research/development of privacy algorithms and their applications. Theory and methodology papers are welcome from any of the following areas, including but not limited to:
- Theory of privacy algorithms (e.g., differential privacy, local differential privacy, pan-privacy, data anonymization)
- Privacy preservation of complex data (e.g., image, text, video, audio, streaming data, graph data) and data sharing
- Privacy preservation decision making algorithms, machine and federated learning, transfer and semi-supervised learning, meta-learning
- Privacy preservation in deep learning models (e.g., convolutional neural networks, graph neural networks, recurrent neural networks, transformer-based networks, etc.)
- Benchmark analysis of privacy algorithms
- Relation between privacy guarantee, fairness, and bias
- Metrics for data privacy
- Implementation of privacy policies and regulations in privacy algorithms
- Privacy attacks on complex data and methods
and application papers focused on but not limited to:
- Recommender Systems, Computer Vision, Natural Language Processing
- Biomedical, Healthcare, Insurance
- Cybersecurity, Financial security, Consumer protection
- Transportation/Mobility networks
- Cloud, Edge, and HPC systems

All submissions must be in PDF format and formatted according to the new ACM format published in ACM guidelines (e.g., using the ACM LaTeX template on Overleaf here) and selecting the "sigconf" sample. Following the WSDM conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed. Submitted works will be assessed based on their novelty, technical quality, potential impact, and clarity of writing (and should be in English). For papers that primarily rely on empirical evaluations, the experimental settings and results should be clearly presented and repeatable. We encourage authors to make data and code available publicly when possible. Accepted papers will be posted on this workshop website and will not appear in the CIKM proceedings and are thus non-archival (allowing you to submit works to PAS at CIKM'22 even if they are current under review elsewhere). The best paper (according to the reviewers' ratings) will be announced at the end of the workshop.

All submissions must be uploaded electronically to EasyChair at: Submission Page

At least one of the authors of the accepted workshop papers must register for the workshop and be present on the day of the workshop.

For questions regarding submissions, please contact us at: [email protected]
Submissions can fall in one of the following categories:
- Long research papers (5-10 pages)
- Short research/application papers (2-4 pages)



Summary

ACM CIKM PAS 2023 : The First International Workshop on Privacy Algorithms in Systems will take place in ATlanta, GA. It’s a 5 days event starting on Oct 17, 2022 (Monday) and will be winded up on Oct 21, 2022 (Friday).

ACM CIKM PAS 2023 falls under the following areas: PRIVACY, ALGORITHMS, DATA, SYSTEMS, etc. Submissions for this Workshop can be made by Aug 29, 2022. Authors can expect the result of submission by Sep 15, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before Sep 30, 2022 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the ACM CIKM PAS 2023

  • Short Name: ACM CIKM PAS 2023
  • Full Name: The First International Workshop on Privacy Algorithms in Systems
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of ACM CIKM PAS 2023
  • Event Type: Workshop
  • Website Link: https://pasworkshop.github.io
  • Location/Address: ATlanta, GA


Credits and Sources

[1] ACM CIKM PAS 2023 : The First International Workshop on Privacy Algorithms in Systems


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