Sensors S&P 2025

About the Workshop

Securing sensor systems and protecting their privacy are promising research directions for the future of safe and trustworthy emerging IoT applications. The widespread deployment of networked sensors and the rapid advancements in black-box deep learning models capable of encoding large amounts of information into embeddings have led to heightened concerns about the potential misuse of sensitive data and the vulnerability of these systems to malicious adversaries. The shift from specialized, domain-specific sensors to universal sensor paradigms necessitates novel approaches to ensuring security, privacy, and safety in these complex IoT ecosystems.

We welcome you to submit your work to the second Sensors S&P workshop, which will be held as a part of CPS-Week 2025. This workshop will bring together researchers, practitioners, and industry partners to explore unique challenges at the intersection of IoT sensing, security, privacy, ethics, and fairness, enabling a cross-disciplinary exchange of ideas in the wider context of sensor systems. This cross-disciplinary approach will broaden the community's perspective and highlight new, critical challenges in sensor system security, privacy and safety.

Sensors S&P Workshop is for you, if you are:

Sensing Systems Researchers: Exploring the implications of your work on security, privacy, and ethics in sensing systems and adjacent technologies.

IoT Security and Privacy Specialists: Focusing on securing IoT ecosystems, mitigating vulnerabilities, and addressing privacy concerns in sensing applications.

Machine Learning and AI Researchers: Developing privacy-preserving and secure machine learning techniques for sensor data, and addressing fairness and bias in AI-driven IoT systems.

Quantum Computing Experts: Working on quantum-resilient cryptography and its applications in securing IoT and sensing systems.

Extended Reality (XR) and Autonomous Systems Researchers: Tackling security, privacy, and safety in XR interfaces, biosensors, and autonomous systems like V2X networks.

Sustainability and Ethical Computing Scholars: Developing security and privacy frameworks that incorporate sustainability and ethical considerations in IoT systems.

Program Overview: The workshop is a full-day event featuring keynotes, invited talks, lightning talks, brainstorming activities, and a panel discussion. Attendees will engage in group brainstorming sessions on emerging technologies, discussing topics such as LLM integration with IoT devices, biosensor data handling, XR application security, and autonomous vehicle trust mechanisms.

For more details, please send an email to ychandio@umass.edu.

Location and Date

The workshop will be held on May 6, 2025 at Crescent Bay Rooms (A/B), UCI Student Center, University of California, Irvine.

All times listed in the program are in Pacific Time (PT).

Program

Session 1: Securing Sensors

Time	Title	Speakers / Authors
9:00	Welcome!
9:10	Talk: Secure On-Sensor Machine Learning	Swapnil Saha, Mahesh Chowdhary (STMicroelectronics)
9:35	Talk: Security of AV Perception Systems	Xugui Zhou (Louisiana State University)
10:00	Paper: Towards Understanding User Privacy Concerns of Internet of Things Sensor Data	Dipu Ram Roy (BUET), Jieqiong Zhao (Augusta), Shijia Pan (UC Merced), Shiwei Fang (Augusta)
10:15	Paper: Intermittent Power, Continuous Protection: Security and Privacy for Batteryless Devices in IoT	Thea U. Kjeldsmark (UC Irvine), Hui Zhuang (ASU), Habiba Farrukh (UC Irvine), Muslum Ozgur Ozmen (ASU)

Session 2: Sensing Applications

Time	Title	Speakers / Authors
11:00	Talk: Towards Trustworthy XR: Safety, Security, and Privacy Concerns in XR in the Era of AI	Khaza Anuarul Hoque (University of Missouri)
11:25	Talk: Toward Mobile AI Systems with Physical World Perception	Yi Ding (UT Dallas)
11:50	Talk: Attacking mmWave Sensing with Meta-material-enhanced Tags	Zhengxiong Li (UC Denver)
12:15	Paper: mmVanish: Extending the Vanish Attack for Multi-Radar Exploitation of mmWave Sensing with Meta-material Tags	Xinmin Fang (UC Denver), Hailu Xu (CSU Long Beach), Lingfeng Tao (Oklahoma State), Zhengxiong Li (UC Denver)

Session 3: Sensing in the Age of Machine Learning

Time	Title	Speakers / Authors
2:00	Paper: IoTCloak: Practical Integrity Checks of Machine Learning Inference Code and Models on Tiny IoT Devices	Mehreen Jabbeen, Vireshwar Kumar, Rijurekha Sen (IIT Delhi)
2:15	Paper: ACLI-DPFL: Differentially Private Federated Learning with Adaptive Clipping and Local Iteration	Masanori Nakajima, Yuko Hara (Institute of Science Tokyo)
2:30	Keynote: Safeguarding Media Integrity From The Growing Threat of Generative AI	Joseph DeGol (Steg.AI)
3:00	Closing

Organizers

General Chairs

Fatima Anwar (University of Massachusetts, Amherst)
Luis Garcia (University of Utah)

Technical Program Chair

Yasra Chandio (University of Massachusetts, Amherst)

Technical Program Committee

Yan Wang (Temple University)

Salma Elmalaki (University of California, Irvine)

Habiba Farrukh (University of California, Irvine)

Ilias Giechaskiel (Jump Trading)

Yan Long (University of Virginia)

Aolin Ding (Accenture Labs)

Ying Chen (Kennesaw State University)

Sriharsha Etigowni (National Renewable Energy Laboratory)

Sang-Hoon Choi (Sejong University, South Korea)

Alex Cabral (Georgia Institute of Technology)

Raymond Muller (Purdue University)

Lesley Zhou (University of Maryland, College Park)

Topics of Interest

The event will cover a wide range of topics related to security and privacy in sensing systems, including but not limited to:

Assessing and mitigating security risks in safety-critical IoT applications
Secure communication protocols for sensor networks
Secure real-time data stream processing in edge and cloud-integrated IoT systems
Secure and private sensor-fusion pipelines
Authentication and access control mechanisms in IoT sensing systems
Intrusion detection and response techniques for sensor networks
Blockchain and distributed ledger technologies for secure IoT sensing
Lightweight cryptographic algorithms for resource-constrained IoT devices
Privacy-preserving machine learning and AI techniques for sensing systems
Privacy-enhancing technologies for sensor data protection
Security and privacy challenges in IoT system interoperability
Security and privacy issues in deep learning models for distributed sensing systems
End user security and privacy with human sensing interfaces
Privacy and security in large language model (LLM) integration with IoT devices
Cross-device knowledge sharing in IoT environments leveraging LLMs
Quantum-resilient cryptography for future IoT security
Sustainability-driven security designs for IoT and edge computing environments
Safety and security in biosensor data handling and health monitoring devices
Security and privacy measures for XR (Extended Reality) applications and interfaces
Safety and trust mechanisms in autonomous vehicles and vehicle-to-everything (V2X) networks
Dynamic risk assessment frameworks for evolving IoT ecosystems
Legal, regulatory, and ethical considerations in IoT security and privacy
Ethical and safety concerns in multi-sensor environments for smart cities and transportation

Submission Guidelines

Submissions may range from 1-4 pages in PDF format, excluding references, using the standard ACM conference template. Submissions are strongly encouraged to use only as much space as needed to clearly convey the significance of the work. Submissions should use only as much space as necessary to clearly convey their ideas and contributions.

We give options for the following two submission types:

Technical Research paper (up to 4 pages), where you can submit your preliminary results, analysis on an emerging topic, and retrospective extension of your existing work with new results.

Vision/Statement paper (up to 2 pages), where we solicit submissions without experiments, you can submit either a broader vision of your research in sensing systems safety or you can submit security/privacy implications of your already published sensing work.

Formatting

Submissions should be previously unpublished, and not currently under review by another conference or journal. Papers should be submitted for consideration via the workshop website, prior to the submission deadline, and must adhere to the provided formatting guidelines. All submissions must use the LaTeX styles found here. Papers that do not meet the size and formatting requirements will not be reviewed. Please note that ACM uses 9pt fonts in all conference proceedings, and the LaTeX style implicitly defines the font size to be 9pt.

Guidelines

Technical Research Papers up to 4 pages (including everything except references), reporting on novel research, to be presented at the workshop as an oral presentation. Vision papers up to 2 pages (including everything except references), where we solicit submissions without experiments, to be presented as lightning talks at the workshop. All submissions are double-blind.

Submission Site

HotCRP Link