3 papers
cs.CV2025
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
Runkai Zheng, Vishnu Asutosh Dasu, Yinong Oliver Wang +2
Modern machine learning models heavily rely on large datasets that often include sensitive and private information, raising serious privacy concerns. Differentially private (DP) da…
cs.CV2024
Unsupervised Model Diagnosis
Yinong Oliver Wang, Eileen Li, Jinqi Luo +2
Ensuring model explainability and robustness is essential for reliable deployment of deep vision systems. Current methods for evaluating robustness rely on collecting and annotatin…
cs.CV2024
Visual Data Diagnosis and Debiasing with Concept Graphs
Rwiddhi Chakraborty, Yinong Wang, Jialu Gao +3
The widespread success of deep learning models today is owed to the curation of extensive datasets significant in size and complexity. However, such models frequently pick up inher…