Negotiating Privacy with Smart Voice Assistants: Risk-Benefit and Control-Acceptance Tensions
2026-04-09T07:23:38Z•377908b2ddfbf7c850c4d16f6d690c417af64608e77919d873764e20e4082632
BiLSTMCUAVerifierBenchCVE analysisClawLessIIoTIoMTIoT integrationLLM jailbreaksMVRAFSALLIESE-ViTUniversal VerifierZero TrustZitPitagentic agentsartifact admission controlattributionexplainable MLintrusion detectionmultimodal securityprivacyruntime defensessmart voice assistantssoftware supply chainvulnerability risk quantification
What happened
This collection of recent arXiv papers spans applied security research for AI agents, LLM/VLM defenses, software-supply-chain/admission control, vulnerability risk quantification, and intrusion detection for IoT/IIoT/IoMT. Notable contributions include ZitPit (Rust consumer-side artifact admission for agentic workflows), SALLIE (runtime, modal-agnostic detector using internal activations to mitigate textual and visual jailbreaks), a Universal Verifier and CUAVerifierBench for verifying computer-use-agent trajectories, MVRAF for multi-dimensional CVE severity/risk quantification, and ClawLess (
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- 377908b2ddfbf7c850c4d16f6d690c417af64608e77919d873764e20e4082632
- Enrichment time
- 2026-04-09T07:23:38Z
- AI-assisted enrichment
- Yes
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