Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.14256.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

A paper proposing an automated multi-agent red-teaming framework that synthesizes adversarial multimodal examples using an Architect agent, an image generator, and a verification committee, reducing false negative rate from 41.2% to 24.5% on a public image safety benchmark without human labeling.

Concrete multi-agent pipeline (architect + generator + verifier) for adversarial data synthesis, with measurable robustness gains reported on a public benchmark.

Cited by

No citations on record.