Securing Contrastive mmWave-based Human Activity Recognition against Adversarial Label Flipping
arXiv 2608.04029•8e46956cfb0340389141a532e23b3cc81acacdbbf88b188e9c9c6e9f1b6f8d12
adversarial-machine-learningamd-sev-snpauthenticationbackdoor-detectionconfidential-computingcritical-infrastructuredata-poisoningfederated-learningiot-intrusion-detectionjailbreakslabel-flippingllm-agentsmultimodal-llm-securityprompt-injectionquantum-key-distributionrefresh-tokensv2x-security
Paper metadata
- arXiv ID
- 2608.04029
- 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
- 8e46956cfb0340389141a532e23b3cc81acacdbbf88b188e9c9c6e9f1b6f8d12
- Enrichment time
- 2026-08-06T07:23:25Z
- AI-assisted enrichment
- Yes
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