Ravindra Mangar (Dartmouth College, Hanover), Jared Chandler (Dartmouth College, Hanover), Timothy J. Pierson (Dartmouth College, Hanover), David Kotz (Dartmouth College, Hanover)

Matter is a recent interoperability standard that aims to address fragmentation in smart homes by providing a common system for integrating disparate smart-home devices. As Matter adoption grows, it also creates a shared platform on which new smart-home mechanisms can be implemented and evaluated end-to-end across realistic deployments.

However, turning a research idea into a runnable prototype in a Matter-based deployment is tedious. We address this shortcoming by presenting a practical template for implementing custom clusters in the open-source Matter SDK and invoking it from a widely used smart-home controller. Using a running example, we add a simple cluster that erases sensitive data stored on a smart device. We view this template as an enabling step for the community. While Matter’s open reference implementation provides common ground, the concrete steps required to add and exercise experimental functionality remain scattered. Our template and walkthrough consolidate the necessary steps needed for a reproducible workflow that researchers can adapt for exploring new security and privacy mechanisms.

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STIP: Three-Party Privacy-Preserving and Lossless Inference for Large Transformers...

Mu Yuan (The Chinese University of Hong Kong), Lan Zhang (University of Science and Technology of China), Yihang Cheng (University of Science and Technology of China), Miao-Hui Song (University of Science and Technology of China), Guoliang Xing (The Chinese University of Hong Kong), Xiang-Yang Li (University of Science and Technology of China)

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Position Paper: Towards Ubiquitous and Automated User Privacy Configuration

Song Liao (Texas Tech University), Jingwen Yan (Clemson University), Yichen Liu (University of Illinois Urbana-Champaign), David Kotz (Dartmouth College), Luyi Xing (University of Illinois Urbana-Champaign), Long Cheng (Clemson University)

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PANDORA: Lightweight Adversarial Defense for Edge IoT using Uncertainty-Aware...

Avinash Awasthi (Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India), Pritam Vediya (Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India), Hemant Miranka (The LNM Institute of Information Technology, Jaipur, India), Ramesh Babu Battula (Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur,…

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