Multimodal-SEA - Chinese - Deception Miss Rate: leaderboard

Personal-agent security against adaptive multimodal social-engineering attacks (forged images, documents, websites and video) in simulated Chinese and English applications, scored from tool-execution logs. Multimodal-SEA v1: 608 task instances (316 Chinese, 292 English; 152 scenarios over 14 domains, four difficulty levels), one recorded interaction per task and model variant. DeepSeek-v4-Pro plays attacker and accomplice; Gemini-3.1-image-flash and Kling 2.5 Turbo generate forged visual content; GPT-5.6-luna judges D5/D6. Attack success (D4) is grounded in tool-execution logs; verification coverage (D2) is micro-averaged over verification opportunities; deception miss rate (D6) is the share of deceptive multimodal artifacts the agent failed to flag. The -SP rows add five explicit safety rules to the system prompt and stay separate configurations. Monetary loss (mixed currencies), first-recognition round and ungrounded-claim counts are not admitted; reasoning effort is not reported. Question access: No dataset or code release was verified for the 608 task instances.

Metric: Multimodal deception miss rate (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 9 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.8 Flash (Benchmark Sweep Run: source=Multimodal-SEA; default personal-agent prompt; Chinese task set; attacker=DeepSeek-v4-Pro; effort unreported)21.9
2Gemini 3.8 Flash (Benchmark Sweep Run: source=Multimodal-SEA; default personal-agent prompt; Chinese task set; attacker=DeepSeek-v4-Pro; effort unreported)34.4
3GLM-5.3 Flash (Benchmark Sweep Run: source=Multimodal-SEA; default personal-agent prompt; Chinese task set; attacker=DeepSeek-v4-Pro; effort unreported)38.3
4MiniMax-M3 (Benchmark Sweep Run: source=Multimodal-SEA; safe-prompt variant SP with five explicit safety rules; Chinese task set; attacker=DeepSeek-v4-Pro; effort unreported)38.5
5MiniMax-M3 (Benchmark Sweep Run: source=Multimodal-SEA; default personal-agent prompt; Chinese task set; attacker=DeepSeek-v4-Pro; effort unreported)38.9
6Kimi K3 (Benchmark Sweep Run: source=Multimodal-SEA; default personal-agent prompt; Chinese task set; attacker=DeepSeek-v4-Pro; effort unreported)41.7
7GPT-5.6 Sol (Benchmark Sweep Run: source=Multimodal-SEA; default personal-agent prompt; Chinese task set; attacker=DeepSeek-v4-Pro; effort unreported)50.4
8Claude Opus 5 (Benchmark Sweep Run: source=Multimodal-SEA; default personal-agent prompt; Chinese task set; attacker=DeepSeek-v4-Pro; effort unreported)52.6
9GPT-5.6 Sol (Benchmark Sweep Run: source=Multimodal-SEA; safe-prompt variant SP with five explicit safety rules; Chinese task set; attacker=DeepSeek-v4-Pro; effort unreported)63.5

Interactive version: theaggregate.ai/benchmark?slug=multimodal-sea-chinese-deception-miss-rate · How It Works · Data refreshed daily, snapshot 2026-11-07.