| Kalvin (Dec 3rd) |
2.45 –11:00 |
DP and Fairness (paper 1) and (paper 2) |
| Winnie |
12:30 – 12:50 |
Differential Privacy for Class-Based Data (paper) |
| Rashad |
1:00 – 1:20 |
DP and Fairness Observations in Natural Language Processing (paper 1) and (paper 2) |
| Yang |
1:30 – 1:50 |
Privacy-Preserved Federated Learning for Autonomous Driving (paper 1) and (paper 2) |
| Tom |
2:00 – 2:20 |
Differentially private diffusion models (paper) |
| Julian |
2:30 – 3:00 |
Faster Differentially Private Convex Optimization via Second-Order Methods (paper) |