GeoPrivacy 2023
1st ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies
November 13th, 2023
Hamburg, Germany
In an era of increasing reliance on technology, geospatial data plays a crucial role in shaping novel systems that drive decision-making, improve services, and drive innovation in fields ranging from social media and shopping to healthcare and transportation. In particular, the adoption of machine learning and deep learning techniques has heightened the demand for big geospatial data as well as magnified its transformative potential. Nevertheless, the availability and accessibility of this data, coupled with the security considerations surrounding the models that utilize it, have given rise to pressing ethical concerns that warrant our immediate attention. Striking a delicate balance between maximizing data utility and safeguarding individual privacy has become an imperative challenge. The processing of personal data poses inherent risks, including the potential infringement upon privacy rights and the potential for abuse or manipulation. As a result, profound ethical questions emerge, underscoring the interplay between utility and privacy. This workshop aims to bring together researchers and practitioners from diverse fields to delve into the multifaceted dimensions of geospatial data, unravel its potential implications and identify innovative solutions for enabling smart and safe societies.
We invite submissions covering a wide range of topics related to geospatial data-driven smart systems, including but not limited to:
Geospatial smart systems for individuals, communities, and society.
Data collection and use in smart systems.
Technical approaches for ensuring data privacy and security in smart systems.
Data governance and regulation in the context of geospatial smart systems.
Geospatial smart systems for individuals, communities, and society.
Case studies showcasing the application of geospatial smart systems in different domains (e.g., healthcare, transportation, urban planning, etc.).
Privacy control mechanisms: Privacy awareness, assessment, preserving, and user-centric privacy approaches.
Trustworthy, Explainable, and Robust AI for geospatial smart systems.
Attacks and mitigations for AI-based systems.
Important Dates
Paper submission: September 22, 2023 (11:59PM (PDT)) (Updated)
Notification of acceptance: October 9, 2023 (Updated)
Camera ready: October 20, 2023
Workshop date: November 13, 2023
Submission Guidelines
We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Contributions can be submitted in two types:
Regular research papers: These papers should report original research results or significant case studies. They should be at most 6 pages.
Position papers: These papers should report novel research directions or identify challenging problems. They should be at most 4 pages.
Submissions must be in PDF format and single-blind (include author names and affiliations). Papers should be prepared according to the ACM template. Paper submissions should be made through the EasyChair system:
https://easychair.org/my/conference?conf=geoprivacy2023
All submissions will be peer-reviewed and accepted papers will be published in the ACM Digital Library.
One author per accepted contribution will be required to register for the workshop and the ACM SIGSPATIAL conference, as well as attend the workshop to present the work. Otherwise, the accepted submission will not appear in the ACM Digital Library.
Program
08:25-08:30 : Opening Remarks:
08:30-10:30: Session 1
8:30-8:50: Generic Construction of Key-Aggregate Searchable Encryption
Kamimura Masahiro, Kyosuke Yamashita, Naoto Yanai (Osaka University, Japan)
8:50-09:10: On the Effects of Filtering Methods on Adversarial Timeseries Data Mubarak G. Abdu-Aguye, Karthik Nandakumar (Mohamed Bin Zayed University of Artificial Intelligence(MBZUAI), UAE)
9:10-9:30: A Fundamental Model with Stable Interpretability for Traffic Forecasting
Xiaochuan Gou, Lijie Hu, Di Wang (King Abdullah University of Science and Technology, Saudi Arabia), Xiangliang Zhang (Notre Dame University, USA)
09:30-09:50: About privacy on smart tachographs: Reconstructing car-driven routes based on speed measurements
Tobias Werner, Jörn Ahlers, Thomas Brinkhoff (Jade University of Applied Sciences, Germany)
09:50-10:10: Privacy-aware Publication of Wi-Fi Sensor Data for Crowd Monitoring and Tourism Analytics
Leonie Ackermann, Christoph Baum, Syed Ibrahim Khalil, Aleksandr Litvin, Daniela Nicklas(University of Bamberg, Germany)
10:10-10:30: Towards Anonymizing Intermodal Mobility Data for Smart Cities
Leonie Ackermann,Michael Mühlhauser(University of Bamberg, Germany), Alexandru Burdusel, Michael Federlin(wikimove UG, Germany, Dominik Herrmann (University of Bamberg, Germany), Steffen Holly (Psoido GmbH, Germany), Daniela Nicklas(University of Bamberg, Germany), Daniel Wolpert(wikimove UG,Germany)
10:30-11:00 Coffee Break
11:00-12:00: Session 2:
11:00-11:20: On the Effect of Mixed Intelligence on Gig-based Food Delivery
Christine Bassem (Wellesley College, USA)
11:20-12:00: Panel Session Dive deep into the cutting-edge intersection of geospatial data and AI at our workshop, where we'll explore the pressing ethical challenges and transformative potential of big geospatial data in shaping smart and safe societies. Join us to navigate the balance between data utility and individual privacy, and help chart the future of responsible AI-driven innovation in geospatial analytics.
Workshop Organizers
Akira Uchiyama (Osaka University, Japan)
Hamada Rizk (Osaka University, Japan; Tanta University, Egypt)
Program Committee
Heba Aly, Amazon, USA
Janick Edinger, University of Hamburg, Germany
Viktor Erdélyi, Osaka University, Japan
Grant McKenzie, McGill University, Canada
Hiroki Kudo, Kyoto Tachibana University, Japan
Amr Magdy, UC Riverside, USA
Daniela Nicklas, University of Bamberg, Germany
Ibrahim Sabek, MIT, USA
Yuichi Sei, The University of Electro-Communications, Japan
Naoto Yanai, Osaka University, Japan