Quantum Key Distribution Secured Federated Learning for Channel Estimation and Radar Spectrum Sensing in 6G Networks

2026-03-18T07:23:31Zfbee44f26ddbf2bfa823650149dea7fe2cd5abec3cdfd61048cf8eb939f60778
adversarial-mlai-securitybackdoor-defenseem-side-channelfederated-learninghardware-trojanllm-agentsmodel-watermarkingmulti-turn-jailbreakobject-concealmentprivacyprompt-injectionqkdquantum-key-distributionred-teamingselective-disclosureself-propagating-wormtrigger-inversionvision-language-modelszero-knowledge

What happened

Collection of recent security-related arXiv papers spanning AI/ML robustness, agent security, privacy, and hardware trust. Highlights include: ClawWorm, a demonstrated self-propagating worm targeting LLM-agent ecosystems (OpenClaw) that hijacks configurations and propagates autonomously; a large-scale red-team study showing widespread vulnerability of LLM-based agents to indirect/hidden prompt injection attacks (attack rates up to ~8.5%); analysis of state-dependent multi-turn jailbreaks that cause rapid, reproducible safety collapse; BadLLM-TG, an LLM-driven trigger generator that reduces NLP

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_cr
Record identifier
fbee44f26ddbf2bfa823650149dea7fe2cd5abec3cdfd61048cf8eb939f60778
Enrichment time
2026-03-18T07:23:31Z
AI-assisted enrichment
Yes

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