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arXiv · 2504.01081

ShieldGemma 2: Robust and Tractable Image Content Moderation

Wenjun Zeng·Dana Kurniawan·Ryan Mullins·Yuchi Liu·Tamoghna Saha·Dirichi Ike-Njoku·Jindong Gu·Yiwen Song·Cai Xu·Jingjing Zhou·Aparna Joshi·Shravan Dheep·Mani Malek·Hamid Palangi·Joon Baek·Rick Pereira·Karthik Narasimhan
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Abstract

We introduce ShieldGemma 2, a 4B parameter image content moderation model built on Gemma 3. This model provides robust safety risk predictions across the following key harm categories: Sexually Explicit, Violence \& Gore, and Dangerous Content for synthetic images (e.g. output of any image generation model) and natural images (e.g. any image input to a Vision-Language Model). We evaluated on both internal and external benchmarks to demonstrate state-of-the-art performance compared to LlavaGuard \citep{helff2024llavaguard}, GPT-4o mini \citep{hurst2024gpt}, and the base Gemma 3 model \citep{gemma_2025} based on our policies. Additionally, we present a novel adversarial data generation pipeline which enables a controlled, diverse, and robust image generation. ShieldGemma 2 provides an open image moderation tool to advance multimodal safety and responsible AI development.

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Wenjun Zeng, Dana Kurniawan, Ryan Mullins, Yuchi Liu, Tamoghna Saha, Dirichi Ike-Njoku, Jindong Gu, Yiwen Song, Cai Xu, Jingjing Zhou, Aparna Joshi, Shravan Dheep, Mani Malek, Hamid Palangi, Joon Baek, Rick Pereira, Karthik Narasimhan. 2025-04-01. ShieldGemma 2: Robust and Tractable Image Content Moderation. https://arxiv.org/abs/2504.01081

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