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A Bias-Variance-Privacy Trilemma for Statistical Estimation

Rethinking Benchmarks for Differentially Private Image Classification

Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy

Differentially Private Fine-tuning of Language Models

Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment

Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent

Private GANs, Revisited

Indiscriminate Data Poisoning Attacks on Neural Networks

The Discrete Gaussian for Differential Privacy

Robustness Meets Algorithms