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Towards Fast Detection of Suspicious Bluetooth Trackers using Anomaly Detection
Towards Fast Detection of Suspicious Bluetooth Trackers using Anomaly Detection
Orobosa Ekhator
,
Dylan Conklin
,
Primal Pappachan
,
Roberto Yus
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Project
DOI
BL(u)E CRAB: Bluetooth Low Energy Connection Risk Assessment Benchmarking
BL(u)E CRAB: Bluetooth Low Energy Connection Risk Assessment Benchmarking
Dylan Conklin
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Project
DOI
If You Give a Website a Cookie: Educating Children About Online Privacy
If You Give a Website a Cookie: Educating Children About Online Privacy
Tina McComiskey
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DOI
BL(u)E CRAB: A User-Centric Framework for Identifying Suspicious Bluetooth Trackers
BL(u)E CRAB, a user-centric framework for identifying suspicous Bluetooth Low Energy (BLE) devices
Dylan Conklin
,
Primal Pappachan
,
Roberto Yus
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Poster
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DOI
ACCORD: Constraint-driven mediation of multi-user conflicts in cloud services
ACCORD, a web application built on top of Google Drive able to detect and resolve multi-user conflicts.
Abhiroop Tippavajjula
,
Primal Pappachan
,
Anna Squicciarini
,
Jose Such
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GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants
GenAIPABench, a benchmark for evaluating Generative AI-based Privacy Assistants
Aamir Hamid
,
Hemanth Reddy Samidi
,
Tim Finin
,
Primal Pappachan
,
Roberto Yus
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Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data
This paper discusses a stronger security model that minimally hides non-sensitive cells during query processing, thus preventing information leakages about sensitive data to be inferred from query answers.
Primal Pappachan
,
Shufan Zhang
,
Xi He
,
Sharad Mehrotra
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