Zero-Trust Federated Learning for Connected Aftermarket Devices
arXiv 2608.07591•0f969f85d452dcf158a3e3cab6b9c6f11255b3e112256aee043764087f39cd46
CVE-2025-32711AI-generated-code-securityLLM-securityOCR-securityOTA-update-securityRAG-securitySOC-2adversarial-machine-learningartificial-intelligence-securityautomotive-cybersecuritycomputer-vision-securitycybersecurity-operationsdata-poisoningfederated-learningidentity-and-access-managementjailbreaksprivacyprompt-injectionsecure-codingverifiable-credentialszero-trust
Paper metadata
- arXiv ID
- 2608.07591
- Version
- Not specified by this published record
- Category
- Computer Science — Cryptography and Security (cs.CR)
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Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- 0f969f85d452dcf158a3e3cab6b9c6f11255b3e112256aee043764087f39cd46
- Enrichment time
- 2026-08-11T07:23:25Z
- AI-assisted enrichment
- Yes
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