Introduces red teaming versus blue teaming to simulate re-identification attacks and improve anonymization practices for publishing research data in HCI and privacy studies.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.HC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
SupplyNet is a visual simulation platform built on contextual graph-based LLM multi-agent models that provides interactive network views, branching timelines, and task consoles to support exploratory learning in supply chains, with a user study indicating gains in engagement and perceived understand
citing papers explorer
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Putting Privacy to the Test: Introducing Red Teaming for Research Data Anonymization
Introduces red teaming versus blue teaming to simulate re-identification attacks and improve anonymization practices for publishing research data in HCI and privacy studies.
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SupplyNet: Supporting Visual Exploratory Learning in Supply Chain via Contextual Multi-Agent Simulation
SupplyNet is a visual simulation platform built on contextual graph-based LLM multi-agent models that provides interactive network views, branching timelines, and task consoles to support exploratory learning in supply chains, with a user study indicating gains in engagement and perceived understand