Proactive Road Safety Intervention in Australia: Predicting Risky Driving Hotspots from Connected Vehicle Data
arXiv 2608.16913•a84f0e73291b954b6028dec92618200fec5e19bb7516cfd6d5433c3caec4696e
EEG foundation modelsLLM post-trainingadversarial machine learningconnected vehicle telemetrydata leakagedocument sensitivity classificationknowledge editingmodel securitypublic encoder exposuretransfer attacks
Paper metadata
- arXiv ID
- 2608.16913
- Version
- Not specified by this published record
- Category
- Computer Science — Machine Learning (cs.LG)
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Evidence and limitations
- Source ID
- arxiv_cs_lg
- Record identifier
- a84f0e73291b954b6028dec92618200fec5e19bb7516cfd6d5433c3caec4696e
- Enrichment time
- 2026-08-19T08:52:05Z
- AI-assisted enrichment
- Yes
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