A Cross-Architecture Audit of Direction-Based Inference-Time Defences in Vision-Language Models
Inference time defences against vision language model jailbreaks often subtract a calibrated direction from the residual stream at a chosen decoder layer. We compare five defence candidates across 15 model and layer cells from four architectural families under a magnitude controlled protocol that matches the intervention size for each prompt and pairs every direction with a random control of the same norm. The candidates are the mean image conditioning shift, a CMRM style refusal direction, a Sh
Record details
Published: 30 July 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Military & security · Transparency
Retrieved: 31 July 2026
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ethics.ai (30 July 2026), “A Cross-Architecture Audit of Direction-Based Inference-Time Defences in Vision-Language Models,” evidence record 14957, https://ethics.ai/record/14957 (originally published by arXiv).
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