Implicitly harmful visual content represents a growing challenge in digital environments, particularly when offensive narratives are conveyed through stylized images, cartoons, or other indirect visual representations. Convolutional neural networks (...
The rapid proliferation of social media and generative large language models has increased multimodal harmful content, making harmful meme detection and explanation generation crucial for content moderation. In Chinese social media, meme harmfulness...
The rapid progress of generative AI has enabled remarkable creative capabilities, yet it also raises urgent concerns regarding the safety of AI-generated visual content in real-world applications such as content moderation, platform governance, and d...