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