15 citations · 16 across the 7 of their papers we have counts for
3 papers · 1 filter
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
Dongjie Chen, Kartik Patwari, Zhengfeng Lai +3
Existing SFDA methods struggle to fully use pre-trained knowledge and often rely on a single model's predictions or handcrafted prompts, limiting robustness under domain shift. Mul…
DPGOMI: Differentially Private Data Publishing with Gaussian Optimized Model Inversion
Dongjie Chen, Sen-ching S. Cheung, Chen-Nee Chuah
High-dimensional data are widely used in the era of deep learning with numerous applications. However, certain data which has sensitive information are not allowed to be shared wit…
Differentially Private Generative Adversarial Networks with Model Inversion
Dongjie Chen, Sen-ching Samson Cheung, Chen-Nee Chuah +1
To protect sensitive data in training a Generative Adversarial Network (GAN), the standard approach is to use differentially private (DP) stochastic gradient descent method in whic…