Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
- Kristjan Greenewald
- Yuancheng Yu
- et al.
- 2024
- NeurIPS 2024
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6 results for Hao Wang
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
- Hao Wang
- Luxi He
- et al.
- 2023
- NeurIPS 2023
Adapting Fairness Interventions to Missing Values
- Raymond Feng
- Flavio Calmon
- et al.
- 2023
- NeurIPS 2023
Analyzing Generalization of Neural Networks through Loss Path Kernels
- Yilan Chen
- Wei Huang
- et al.
- 2023
- NeurIPS 2023
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
- 2023
- NeurIPS 2023
Quantifying Representation Reliability in Self-Supervised Learning Models
- Young Jin Park
- Hao Wang
- et al.
- 2024
- UAI 2024