Lifecycle-Integrated Security for AI-Cloud Convergence in Cyber-Physical Infrastructure
2026-03-04T19:46:11Z•ad6757817a004ba6b0099250ba62a3887a94e0a1ab93725afdf5173223c10a9a
2G2TAI governanceDP-SGDLaplace mechanismMSM outsourcingProtected Management FramesRistretto255TorWPA3Wi‑Fi deauthenticationadversarial MLcloud securitycryptographycyber-physical systemsdifferential privacyintersection attackmodel supply chainonion services deanonymizationprivacy accountantreinforcement learningruntime governancesecure code generationthreat taxonomytoken-level rewardsvulnerability repair
What happened
This arXiv CS/CR feed aggregates multiple security- and privacy-focused research contributions spanning AI governance and cloud convergence, secure code generation, cryptographic outsourcing, network/IoT/physical-layer attacks and defenses, privacy-preserving ML and DP, anonymity attacks on Tor, quantum circuit obfuscation, model traceability, and privacy-preserving energy markets. Notable findings: a lifecycle reference architecture and threat taxonomy for AI+cloud hybrids (risking cross-layer attacks against industrial control systems); Vul2Safe and SRCode for reducing code-generation vulnry
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- ad6757817a004ba6b0099250ba62a3887a94e0a1ab93725afdf5173223c10a9a
- Enrichment time
- 2026-03-04T19:46:11Z
- AI-assisted enrichment
- Yes
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