DAMS Research Group


The DAMS (DAta Management & Semantics) Research Group at UMBC is lead by Professor Roberto Yus. We focus on semantic and privacy-aware data management in IoT environments.

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**DAMS** Research Group

Recent Publications

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Dylan Conklin, Primal Pappachan, Roberto Yus (2025). BL(u)E CRAB: A User-Centric Framework for Identifying Suspicious Bluetooth Trackers. 23rd International Conference on Pervasive Computing and Communications (PerCom).

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Saisricharan Malkireddy, Sumedh Kane, Sourimitra Medepalli, Satvik Racharla, Bharg Barot, Christian Badolato, Roberto Yus (2025). LOADS: LiDAR-based Privacy-Preserving Queue Monitoring and Analysis. 23rd International Conference on Pervasive Computing and Communications (PerCom).

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Christian Badolato, Kaur Kullman, Nikolaos Papadakis, Manav Bhatt, Georgios Bouloukakis, Don Engel, Roberto Yus (2025). Your Smart Home Exchanged 3M Messages: Defining and Analyzing Smart Device Passive Mode. International Conference on Pervasive Computing and Communications (PerCom).

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Projects

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Active All Internet of Things Data Management Artificial Intelligence Privacy
Passive Mode for IoT

Passive Mode for IoT

Addressing the current gap in IoT mode definitions by introducing and analyzing passive mode designations for smart devices

Code
GenAIPABench

GenAIPABench

GenAIPABench assesses the effectiveness of GenAIPAs across multiple dimensions including accuracy, relevance, and consistency, using a curated set of privacy-related questions and metrics. The benchmark aims to advance the development of AI privacy assistants by providing a standard evaluation framework.

Code
PrivacyLens

PrivacyLens

Framework aimed at discovering, collecting, and analyzing privacy policies of smart devices using NLP and ML algorithms, to provide insights to users, policy authors, and regulators.

Code
SmartSpec

SmartSpec

Generating realistic synthetic IoT datasets

Code
SemIoTic

SemIoTic

Facilitating the development of applications in IoT spaces

Code Slides

Latest News

Best Artifact Paper award at PerCom 2025!

Our paper on the analysis of smart home IoT devices while not in active use won the Best Artifact Paper award at PerCom 2025!

Your Smart Home Exchanged 3M Messages: Defining and Analyzing Smart Device Passive Mode

Christian Badolato (University of Maryland, Baltimore County), Kaur Kullman (University of Maryland, Baltimore County), Nikolaos Papadakis (Institut Polytechnique de Paris), Manav Bhatt (University of Maryland, Baltimore County), Georgios Bouloukakis (Institut Polytechnique de Paris), Don Engel (University of Maryland, Baltimore County), and Roberto Yus (University of Maryland, Baltimore County)
Mar 23, 2025 1 min read
Best Artifact Paper award at PerCom 2025!
Demo papers accepted at PerCom 2025!

Our team’s project, LiDAR Occupancy and Analysis Detection System (LOADS), has been officially accepted to be demoed at the IEEE International Conference on Pervasive Computing and Communications (PerCom) 2025.

LOADS: LiDAR-based Privacy-Preserving Queue Monitoring and Analysis

Saisricharan Malkireddy, Sumedh Kane, Sourimitra Medepalli, Satvik Racharla, Bharg Barot, Christian Badolato, Roberto Yus (University of Maryland, Baltimore County, USA)

We got a second demo paper accepted in collaboration with Portland State University. This work presents a system to identify suspicious trackers.

BL(u)E CRAB: A User-Centric Framework for Identifying Suspicious Bluetooth Trackers.

Dylan Conklin (Portland State University, United States), Primal Pappachan (Portland State University, United States) and Roberto Yus (University of Maryland, Baltimore County, United States).
Jan 20, 2025 2 min read
Demo papers accepted at PerCom 2025!
Paper accepted at PerCom 2025!

Our paper on the analysis of smart home IoT devices while not in active use has been accepted at PerCom 2025! This is Christian’s first paper accepted at a conference!

Your Smart Home Exchanged 3M Messages: Defining and Analyzing Smart Device Passive Mode

Christian Badolato (University of Maryland, Baltimore County), Kaur Kullman (University of Maryland, Baltimore County), Nikolaos Papadakis (Institut Polytechnique de Paris), Manav Bhatt (University of Maryland, Baltimore County), Georgios Bouloukakis (Institut Polytechnique de Paris), Don Engel (University of Maryland, Baltimore County), and Roberto Yus (University of Maryland, Baltimore County)
Jan 20, 2025 2 min read
Paper accepted at PerCom 2025!
Aamir's presentation at PETS 2024!

Aamir Hamid did a great job today at #PETS2024 presenting our work (with Hemanth Reddy Samidi, Primal Pappachan, and Tim Finin) on designing a benchmark to evaluate GenAI systems answering questions about privacy.

First conference presentation of (hopefully) many! Amazing job Aamir Hamid!
Jul 1, 2024 1 min read
Aamir's presentation at PETS 2024!
Paper accepted at PETS 2024!

Our team’s research on GenAIPABench, a novel benchmark for Generative AI-based Privacy Assistants, has been officially accepted for publication at the Privacy Enhancing Technologies Symposium (PETS) 2024. This recognition underscores our contribution to enhancing digital privacy through AI.

GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants

Aamir Hamid, Hemanth Reddy Samidi, Tim Finin (University of Maryland, Baltimore County,USA), Primal Pappachan (Portland State University,USA), Roberto Yus (University of Maryland, Baltimore County,USA)
Feb 1, 2024 1 min read
Paper accepted at PETS 2024!
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