ADeptS-Bench - Attack Success (Mobile): leaderboard

Metric: Attack success rate (%, lower is better; share of the 358 malicious mobile tasks in which the model performs the unsafe action; paired benign and malicious GUI tasks with visual threats (phishing overlays, misleading buttons, prompt injection), graded on the next action against ground-truth boxes; mean of 10 runs at temperature 0.1). Source: arxiv.org. Saturation forecast: Around December 2026. 7 models tracked.

Top models

#ModelScore
1Claude Opus 4.727.7
2Gemini 3.1 Pro (Preview)29.6
3GPT-5.436.7
4Qwen 3 VL 235B A22B78.1

Interactive version: theaggregate.ai/benchmark?slug=adepts-bench-attack-success-mobile · How It Works · Data refreshed daily, snapshot 2026-09-29.