Park, Mijung
- DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation
2020/02/26 by Frederik Harder, Harder, Frederik, Kamil Adamczewski +3 · 7 citations
Computer Science · #FOS: Computer and information sciences #Face recognition and analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Privacy-Preserving Causal Inference via Inverse Probability Weighting
2019/05/29 by Si Kai Lee, Lee, Si Kai, Luigi Gresele +5 · 4 citations
Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
- Interpretable and Differentially Private Predictions
2019/06/05 by Harder, Frederik, Bauer, Matthias, Park, Mijung · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Differentially Private Latent Diffusion Models
2023/05/25 by M Liu, Saiyue Lyu, Liu, Michael F. +5 · 4 citations
Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
- Hermite Polynomial Features for Private Data Generation
2021/06/09 by Vinaroz, Margarita, Charusaie, Mohammad-Amin, Harder, Frederik +2 · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Pre-trained Perceptual Features Improve Differentially Private Image Generation
2022/05/25 by Harder, Fredrik, Asadabadi, Milad Jalali, Sutherland, Danica J. +1 · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Differential Privacy Meets Neural Network Pruning
2023/03/08 by Kamil Adamczewski, Mijung Park, Adamczewski, Kamil +1 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- A Differentially Private Kernel Two-Sample Test
2018/08/01 by Raj, Anant, Law, Ho Chung Leon, Sejdinovic, Dino +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Training-Free Safe Denoisers for Safe Use of Diffusion Models
2025/02/11 by Mingyu Kim, Kim, Mingyu, Dongjun Kim +7 · 4 citations
Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Real-time simulation and control systems
- Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
2023/03/03 by Yang, Yilin, Adamczewski, Kamil, Sutherland, Danica J. +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Dirichlet Pruning for Neural Network Compression
2020/11/10 by Kamil Adamczewski, Mijung Park, Adamczewski, Kamil +1 · 1 citation
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Neuron ranking -- an informed way to condense convolutional neural networks architecture
2019/07/03 by Adamczewski, Kamil, Park, Mijung · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Bayesian Principles Improve Prompt Learning In Vision-Language Models
2025/04/19 by Kim, Mingyu, Ko, Jongwoo, Park, Mijung · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences