Maude-HCS: Model Checking the Undetectability-Performance Tradeoffs of Hidden Communication Systems

2026-03-05T07:23:37Z5340a92e0de62acd6436385dd34fa777d7363200889c6d49cd81ff51fc0b6d01
Age-of-InformationArm-CCALLM-backdoorsMaude-HCSMicaNR-V2XPEFTSynthID-TextTEEsV2X-securityZKFL-PQconfidential-computingcovert-channelsfederated-learninghidden-communication-systemshomomorphic-encryptionmodel-poisoningpost-quantum-cryptographyprivacy-preserving-image-editing','PRIVATEEDIT'resource-starvation-attacksleeper-celltool-using-agentswatermark-removalwatermarkingzero-knowledge-proofs

What happened

This collection of recent arXiv papers (Mar 5, 2026) presents multiple novel offensive and defensive findings across network covert channels, ML/LLM security, privacy-preserving ML, confidential computing, V2X safety, and program obfuscation. Key highlights: Maude-HCS — an executable modeling framework to quantify undetectability-performance tradeoffs for hidden communication systems; “Sleeper Cell” — a practical stealth backdoor vector for tool-using LLMs using a two-stage PEFT (SFT-then-GRPO) that yields trigger-specific latent malicious behavior while preserving benign performance; ZKFL-PQ—

Why it matters

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

Evidence and limitations

Source ID
arxiv_cs_cr
Record identifier
5340a92e0de62acd6436385dd34fa777d7363200889c6d49cd81ff51fc0b6d01
Enrichment time
2026-03-05T07:23:37Z
AI-assisted enrichment
Yes

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