11 citations · 11 across the 4 of their papers we have counts for
5 papers
Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation
Yeonghwan Song, Chanhui Lee, Jinsoo Park +1
Recent advances in Image-to-Video generation allow a single image to be animated into a convincing video under text guidance, raising serious copyright and privacy risks. We propos…
Universal Image Immunization against Diffusion-based Image Editing via Semantic Injection
Chanhui Lee, Donggyu Choi, Seunghyun Shin +2
Diffusion model advances have enabled powerful text-guided image editing, but also raise ethical and legal risks such as deepfakes and unauthorized use. To prevent these risks, adv…
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Chanhui Lee, Yeonghwan Song, Jeany Son
Data-free Universal Adversarial Perturbation (UAP) is an image-agnostic adversarial attack that deceives deep neural networks using a single perturbation generated solely from rand…
Unsupervised Object Localization with Representer Point Selection
Yeonghwan Song, Seokwoo Jang, Dina Katabi +1
We propose a novel unsupervised object localization method that allows us to explain the predictions of the model by utilizing self-supervised pre-trained models without additional…
Rank-N-Contrast: Learning Continuous Representations for Regression
Kaiwen Zha, Peng Cao, Jeany Son +2
Deep regression models typically learn in an end-to-end fashion without explicitly emphasizing a regression-aware representation. Consequently, the learned representations exhibit…