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cs.CV2023
Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning
Jiwan Hur, Jaehyun Choi, Gyojin Han +2
Training diffusion models on limited datasets poses challenges in terms of limited generation capacity and expressiveness, leading to unsatisfactory results in various downstream t…
cs.CR2023★ 1 cited
Deep Cross-Modal Steganography Using Neural Representations
Gyojin Han, Dong-Jae Lee, Jiwan Hur +2
Steganography is the process of embedding secret data into another message or data, in such a way that it is not easily noticeable. With the advancement of deep learning, Deep Neur…
cs.LG2023★ 1 cited
Reinforcement Learning-Based Black-Box Model Inversion Attacks
Gyojin Han, Jaehyun Choi, Haeil Lee +1
Model inversion attacks are a type of privacy attack that reconstructs private data used to train a machine learning model, solely by accessing the model. Recently, white-box model…