Invited talks

March 5th, 2025 at 12:00 pm

Talk Title: Vehicle Location Privacy Protection in Spatial Crowdsourcing Under Realistic Adversarial Models

Speaker: Dr. Chenxi Qiu

  • Assistant Professor 
  • Department of Computer Science and Engineering
  • University of North Texas (UNT)

Location

Talk Summary

In the era of the Internet of Things (IoT), spatial crowdsourcing has become an essential paradigm for assigning location-based tasks to mobile workers. However, ensuring worker location privacy while maintaining the efficiency of task assignment remains a significant challenge. This talk introduces a geo-obfuscation framework tailored for road network-based spatial crowdsourcing, addressing the limitations of traditional geo-obfuscation approaches. The proposed method leverages a graph-based mobility model to optimize location obfuscation while preserving task efficiency. By incorporating geo-indistinguishability and expected inference error maximization within a structured optimization framework, the model mitigates adversarial attacks that exploit worker mobility patterns. Furthermore, a column generation algorithm is developed to improve computational efficiency.

About the Speaker

Dr. Chenxi Qiu is currently an assistant professor in The Department of Computer Science and Engineering at University of North Texas (UNT). He directs the Mobile Computing Lab (MCLab) at UNT. He worked as an assistant professor in the Department of Computer Science at Rowan University from 2018 to 2021, and worked as a Postdoctoral Scholar in The College of Information Sciences and Technology at Pennsylvania State University from 2016 to 2018. Dr. Qiu received his Ph.D. degree in The Department of Electrical and Computer Engineering at Clemson University in 2015.

Dr. Qiu’s research interests encompass statistical privacy, location privacy, and spatial computing. His work has been published in top-tier conferences and journals, including PETS, INFOCOM, AAMAS, IJCAI, EDBT, SIGSPATIAL, IPSN, ICDCS, and CIKM, as well as leading IEEE/ACM transactions such as Transactions on Networking (ToN), Transactions on Cloud Computing (TCC), Transactions on Mobile Computing (TMC), Transactions on Parallel and Distributed Systems (TPDS), and Transactions on Computers (TC). His research has won the best paper award at IEEE CloudCom 2016 and the George N. Saridis Best Transactions Paper Award in the IEEE Transactions on Intelligent Transportation Systems 2016.

Website

Jan 29th, 2025 at 12:00 pm (International Data Privacy Week)

Talk Title: Portland’s Privacy program and Digital Rights

Speaker: Hector Dominguez, Ph.D.

  • Open Data and Privacy Coordinator. Smart City PDX. 
  • Bureau of Planning and Sustainability - City of Portland, OR

Location

Talk Summary

This presentation will explore the history and implementation of privacy policies and best practices in the City of Portland, as well as describing what are the current challenges and future steps of these efforts. The City of Portland has been leading local governments implementing privacy policies that center on people’s needs, equity, and responsible technology.

About the Speaker

Hector Dominguez is the Open Data and Privacy Coordinator at the City of Portland, Oregon and part of the Smart City PDX program. Hector is leading initiatives on open data, privacy, surveillance technologies, and automated decision systems, including AI, in the City. His work includes implementing open data strategies, technology impact assessments, helping agencies to implement privacy and information protection practices, policy development, and designing surveillance technologies strategies and procedures.

Hector is currently coordinating the implementation and public participation for the citywide surveillance technologies inventory and guidance and foundational policies and procedures for automated decision systems.

Smart City PDX
City of Portland Privacy Program
LinkedIn Profile

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