ResearchResearch paperSafety & Alignment1 source · Oct 11, 2026

Poisoned into Action: Context Attacks on Typed Decision Workflows

We introduce an execution-aware protocol tracing poisoned evidence through retrieval, model choice, automated action, and persisted state.

Key points

  • Typed decision interfaces restrict models to predefined actions, yet schema-valid choices can still trigger policy-violating state changes.
  • Evaluating context poisoning thus requires connecting model decisions to execution outcomes while accounting for legitimate automation retained by defenses.
  • We evaluate it with 1,659 fresh calls to Jev-1.13.0 across 20 development tasks in two synthetic workflows, using three repetitions per condition.
  • Correcting its empty-scope behavior restores twelve clean decisions without additional model calls.

Sources (1)

  • [1]Poisoned into Action: Context Attacks on Typed Decision Workflows
    arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 11, 11:19 AM
    We introduce an execution-aware protocol tracing poisoned evidence through retrieval, model choice, automated action, and persisted state.
    Typed decision interfaces restrict models to predefined actions, yet schema-valid choices can still trigger policy-violating state changes.

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 11, 2026autotrust/JEV-35B-NVFP4
  2. Oct 10, 2026vllm-sr/d3
  3. Oct 10, 2026EviScene: Beyond "Is It AI?" for Agentic Image Factuality Assessment
  4. Oct 9, 2026Introducing Clef-omni with full multimodality, plus a faster Clef and a cheaper Clef-flash
  5. Oct 9, 2026GraphDecisionBench: Benchmarking System One Models on Graph Tasks
  6. Oct 8, 2026Show HN: Jevman – AI decision models play Pac-Man

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