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Advanced text-to-image diffusion models raise safety concerns regarding identity privacy violation, copyright infringement, and Not Safe For Work content generation.
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Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models
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Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
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Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
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Extracting Training Data from Diffusion Models. In 32nd USENIX Security Symposium (USENIX Security 23) . USENIX Association, Anaheim, CA, 5253–5270
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Erasing Concepts from Diffusion Models. In IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023 . IEEE, 2426–2436
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SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation. In The Twelfth International Conference on Learning Representations
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, and Sijia Liu. 2024 · 2024
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Unified Concept Editing in Diffusion Models. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) . 5111–5120
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Circumventing Concept Erasure Methods For Text-To-Image Generative Models. In The Twelfth International Conference on Learning Representations
Minh Pham, Kelly O. Marshall, Niv Cohen, Govind Mittal, and Chinmay Hegde. 2024 · 2024
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Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?. In The Twelfth International Conference on Learning Representations
Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, and Chun-Ying Huang. 2024 · 2024
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Position Paper: Towards Implicit Prompt For Text-To-Image Models
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Discovering Universal Semantic Triggers for Text-to-Image Synthesis
Shengfang Zhai, Weilong Wang, Jiajun Li, Yinpeng Dong, Hang Su, and Qingni Shen. 2024 · 2024
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