EvoHarmBench - Pornographic Content: leaderboard

EvoHarmBench (Findings of EMNLP 2026) attacks LLM content moderators with an adaptive DeepSeek-V3.2-Exp loop that evolves human-like rewriting strategies over 12 rounds for clusters of real harmful posts. ASR@Readable in percent counts rewrites that evade the moderator while keeping recognizable harmful intent; lower is better for the moderator. Mean over the pornographic-content clusters.

Metric: ASR@Readable (%; mean over the pornographic content sub-clusters of the share of adversarial rewrites that succeed against the moderator; 229 semantic sub-clusters built from 5,002 real-world adversarial posts in five violation categories; an adaptive DeepSeek-V3.2-Exp rewriter, reflector and comparison model evolve cluster-level rewriting strategies against the target moderator for 12 rounds; a rewrite counts only if it both evades the moderator and keeps human-recognizable harmful intent). Source: arxiv.org. Saturation forecast: Around 2028. 10 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.578.9#48
2Claude Sonnet 4.685.2#158
3Qwen 3.6 Plus93.2#217
4Gemini 3.1 Pro (Preview)94.3#91
5Kimi K2.694.8#173
6DeepSeek V4 Pro96.7#181
7DeepSeek-V2-Lite97.7#8600
8GLM-5.198.5#175
9Qwen 3 8B98.6#1838
10Qwen 3 4B98.6#2297

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=evoharmbench-pornographic-content · How It Works · Data refreshed daily, snapshot 2026-11-12.