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The task of text-to-image generation has achieved tremendous success in practice, with emerging concept generation models capable of producing highly personalized and customized content. Fervor for concept generation is increasing rapidly…

Cryptography and Security · Computer Science 2026-05-01 Kun Xu , Wenying Wen , Shuren Qi , Tao Wang , Yushu Zhang , Yuming Fang

Generative AI models, renowned for their ability to synthesize high-quality content, have sparked growing concerns over the improper generation of copyright-protected material. While recent studies have proposed various approaches to…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Qipan Xu , Zhenting Wang , Xiaoxiao He , Ligong Han , Ruixiang Tang

Recent text-to-image (T2I) models have exhibited remarkable performance in generating high-quality images from text descriptions. However, these models are vulnerable to misuse, particularly generating not-safe-for-work (NSFW) content, such…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Lingzhi Yuan , Xinfeng Li , Chejian Xu , Guanhong Tao , Xiaojun Jia , Yihao Huang , Wei Dong , Yang Liu , Bo Li

Large Language Models (LLMs) raise concerns about lowering the cost of generating texts that could be used for unethical or illegal purposes, especially on social media. This paper investigates the promise of such models to help enforce…

Computers and Society · Computer Science 2024-03-25 Thales Bertaglia , Lily Heisig , Rishabh Kaushal , Adriana Iamnitchi

Recently, we have observed an exponential increase of user-generated content (UGC) videos. The distinguished characteristic of UGC videos originates from the video production and delivery chain, as they are usually acquired and processed by…

Multimedia · Computer Science 2020-05-19 Yang Li , Shengbin Meng , Xinfeng Zhang , Shiqi Wang , Yue Wang , Siwei Ma

In recent years there has been substantial growth in the capabilities of systems designed to generate text that mimics the fluency and coherence of human language. From this, there has been considerable research aimed at examining the…

Computation and Language · Computer Science 2022-08-12 Keenan Jones , Enes Altuncu , Virginia N. L. Franqueira , Yichao Wang , Shujun Li

The evolution of Artificial Intelligence Generated Contents (AIGCs) is advancing towards higher quality. The growing interactions with AIGCs present a new challenge to the data-driven AI community: While AI-generated contents have played a…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Yifei Gao , Jiaqi Wang , Zhiyu Lin , Jitao Sang

Mobile gaming apps are woven into children's daily lives. Given their ongoing cognitive and emotional development, children are especially vulnerable and depend on designs that safeguard their well-being. When apps feature manipulative…

Unlike bitmap images, scalable vector graphics (SVG) maintain quality when scaled, frequently employed in computer vision and artistic design in the representation of SVG code. In this era of proliferating AI-powered systems, enabling AI to…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Jinke Li , Jiarui Yu , Chenxing Wei , Hande Dong , Qiang Lin , Liangjing Yang , Zhicai Wang , Yanbin Hao

The rise of generative AI is transforming the landscape of digital imagery, and exerting a significant influence on online creative communities. This has led to the emergence of AI-Generated Content (AIGC) social platforms, such as Civitai.…

Social and Information Networks · Computer Science 2024-07-23 Yiluo Wei , Yiming Zhu , Pan Hui , Gareth Tyson

Large vision-language models (LVLMs) have achieved remarkable progress in vision-language reasoning tasks, yet ensuring their safety remains a critical challenge. Recent input-side defenses detect unsafe images with CLIP and prepend safety…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Xingyu Zhu , Beier Zhu , Junfeng Fang , Shuo Wang , Yin Zhang , Xiang Wang , Xiangnan He

State-of-the-art Text-to-Image models like Stable Diffusion and DALLE$\cdot$2 are revolutionizing how people generate visual content. At the same time, society has serious concerns about how adversaries can exploit such models to generate…

Computer Vision and Pattern Recognition · Computer Science 2023-08-17 Yiting Qu , Xinyue Shen , Xinlei He , Michael Backes , Savvas Zannettou , Yang Zhang

The digital age has expanded social media and online forums, allowing free expression for nearly 45% of the global population. Yet, it has also fueled online harassment, bullying, and harmful behaviors like hate speech and toxic comments…

Computation and Language · Computer Science 2026-03-12 Vuong M. Ngo , Cach N. Dang , Kien V. Nguyen , Mark Roantree

While large language models (LLMs) present significant potential for supporting numerous real-world applications and delivering positive social impacts, they still face significant challenges in terms of the inherent risk of privacy…

Artificial Intelligence · Computer Science 2025-01-17 Huandong Wang , Wenjie Fu , Yingzhou Tang , Zhilong Chen , Yuxi Huang , Jinghua Piao , Chen Gao , Fengli Xu , Tao Jiang , Yong Li

Large Multimodal Models (LMMs) are increasingly vulnerable to AI-generated extremist content, including photorealistic images and text, which can be used to bypass safety mechanisms and generate harmful outputs. However, existing datasets…

Cryptography and Security · Computer Science 2025-03-14 Bhavik Chandna , Mariam Aboujenane , Usman Naseem

Image generation models (IGMs), while capable of producing impressive and creative content, often memorize a wide range of undesirable concepts from their training data, leading to the reproduction of unsafe content such as NSFW imagery and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Renyang Liu , Kangjie Chen , Han Qiu , Jie Zhang , Kwok-Yan Lam , Tianwei Zhang , See-Kiong Ng

In the era where AI-generated content (AIGC) models can produce stunning and lifelike images, the lingering shadow of unauthorized reproductions and malicious tampering poses imminent threats to copyright integrity and information security.…

Computer Vision and Pattern Recognition · Computer Science 2023-12-15 Xuanyu Zhang , Runyi Li , Jiwen Yu , Youmin Xu , Weiqi Li , Jian Zhang

Despite their remarkable image generation capabilities, text-to-image diffusion models inadvertently learn inappropriate concepts from vast and unfiltered training data, which leads to various ethical and business risks. Specifically,…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Die Chen , Zhiwen Li , Mingyuan Fan , Cen Chen , Wenmeng Zhou , Yanhao Wang , Yaliang Li

Recent progress in video generative models has enabled the creation of high-quality videos from multimodal prompts that combine text and images. While these systems offer enhanced controllability, they also introduce new safety risks, as…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Ruize Ma , Minghong Cai , Yilei Jiang , Jiaming Han , Yi Feng , Yingshui Tan , Xiaoyong Zhu , Bo Zhang , Bo Zheng , Xiangyu Yue

Geo-localization is the task of identifying the location of an image using visual cues alone. It has beneficial applications, such as improving disaster response, enhancing navigation, and geography education. Recently, Vision-Language…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Oliver Grainge , Sania Waheed , Jack Stilgoe , Michael Milford , Shoaib Ehsan
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