Seeing Less Is Not Seeing Safely: Privacy Leakage from Task-Scoped Robot Perception Exports
Researchers show that even when domestic robots keep raw sensor data local, structured perception exports to cloud or planning services still leak sensitive household information—undermining data-minimisation claims.
Summary written by editorial AI · Source link below
arXiv:2609.03055v1 Announce Type: cross Abstract: Domestic robots rely on rich perception to operate in private homes, but privacy risk persists even when raw sensor data remain local. Structured representations exported to downstream planners, cloud services, logs, or learning pipelines can still reveal household information through semantics, geometry, spatial structure, and task targets. We introduce Task-Functional Perception Distillation (TFPD), a task-scoped representation-export framewor
Editorial Analysis
For enterprises building or deploying service-robotics platforms, the finding that structured data exports undermine data-minimisation claims has direct GDPR and EU AI Act implications.
Review whether structured perception outputs in your IoT or robotics products require a DPIA update given this demonstrated inference-attack surface.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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