The Eighth ACM/IEEE Workshop on Security and Privacy in Edge Computing (EdgeSP 2025)

The workshop will be co-located with the 10th ACM/IEEE Symposium on Edge Computing (SEC), December 3-6, 2025 in Washington, D.C., USA.


All papers presented at the workshop will be included in the IEEE Digital Library.


Call for Papers

As the technologies of edge computing continue to advance, new security and privacy challenges and opportunities emerge, leading to the flourishing research on and fast development of various security solutions. The aim of this workshop is to provide a platform for researchers and practitioners to present advances in security and privacy enhancing technologies in the emerging field of edge computing.


Topics of interests

We invite authors to submit previously unpublished papers offering novel research contributions addressing security and privacy issues in edge computing. Topics include, but are not limited to:
  • Anonymity
  • Attacks and defenses
  • Authentication
  • Side-channel attacks and defenses for edge computing
  • Intrusion detection and prevention
  • Key Management for edge computing
  • Mobile and Web security and privacy
  • IoT security and privacy on edge computing
  • Network and systems security
  • Privacy technologies and mechanisms
  • Protocol security
  • Secure information flow
  • Security and privacy metrics
  • Security and privacy policies
  • Security architectures
  • Security in content delivery
  • Usable security and privacy

Instructions for Authors

Papers describing timely research contributions in EdgeSP's areas of interest are solicited. Papers reporting on initial results as well as papers discussing mature research projects or case studies of deployed systems are sought out. Submissions describing big ideas that may have significant impact and could lead to interesting discussions at the workshop are encouraged.

Submitted papers must be neither previously published nor under review by another workshop, conference or journal. Only electronic submissions in PDF will be accepted. Submitted papers must be no longer than 6 single-spaced 8.5" x 11" pages, including figures and tables, but excluding references, and using 10-point type on 12-point (single-spaced) leading, two-column format, Times Roman, or a similar font, within a text block 7.14" wide x 9.22" deep. IEEE Standard template for Latex and Word meet these specifications and can be found at:

https://www.ieee.org/conferences/publishing/templates.html


Papers not meeting these criteria will be rejected without review, and no deadline extensions will be granted for reformatting. Pages should be numbered, and figures and tables should be legible in black and white, without requiring magnification.

Submission website: https://EdgeSP2025.hotcrp.com/


At least one of the authors of each paper accepted must register for the workshop.


Please note that camera-ready papers must conform to the most recent ACM template, including the bibliographic and copyright strip. For more details, please refer to the camera-ready instructions page.


Important Dates

Deadline for Submission: October 4, 2025 (Firm)

Notifications of Acceptance: October 25, 2025

Camera-ready Paper Submission: November 1, 2025

Workshops date: December 6, 2025


Workshop Organizers

Organizing Chairs

Leah Ding, American University

Kewei Sha, University of North Texas


Program Committee Members

Nahid Farhady Ghalaty, Microsoft, USA

Song Fang, The University of Oklahoma, USA

Rui Duan, University of Missouri-Kansas City, USA

Kewei Sha, University of North Texas, USA

Leah Ding, American University, USA



Program

14:00 - 14:20
Saliency-Guided Lightweight Backdoor Defense for Edge Intelligence
Zijian Zhang (University of Wisconsin-Milwaukee); Liang Wu (University of Wisconsin-Milwaukee); Zhen Zeng (University of Wisconsin-Milwaukee); Zhongshu Gu (IBM Research)

14:20 - 14:40
RAI Overblock Dataset (ROD): A GAN-Based Synthetic Data Generation Approach for Evaluating Overblocking in Responsible AI Systems
Nahid Ghalaty (Microsoft); Abhilasha Bhargav-Spantzel (Microsoft)

14:40 - 15:00
Siamese: Stealing Fine-Tuned Visual Foundation Models via Diversified Prompting
Madhureeta Das (Seacom Engineering College); Gaurav Bagwe (Clemson University); Miao Pan (University of Houston); Kaichen Yang (Michigan Technological University); Xiaoyong Yuan (Clemson University); Lan Zhang (Clemson University)

15:00 - 15:20
Reinforcement Learning-Guided Large Language Model Fine-Tuning for Privacy-Preserving Text Rewriting
Zhan Shi (Santa Clara University); Yefeng Yuan (Santa Clara University); Liang Cheng (ebay); Yuhong Liu (Santa Clara University)

15:20 - 15:40
Exploring Transferability of Adversarial Examples from Resource-Constrained Devices
Houchao Gan, Shima Yousefi, and Saptarshi Debroy (City University of New York)

15:40 - 16:00
Seeing Patterns Differently: Topological Geometry for Anomaly Detection in Multivariate Time Series
Kanchon Gharami (Embry-Riddle Aeronautical University); Humayra Tasnim (Rajshahi University of Engineering and Technology); M. Ilhan Akbas (Embry-Riddle Aeronautical University); Shafika Showkat Moni (Embry-Riddle Aeronautical University)