Rachel Redberg

Orcid: 0000-0001-5592-7186

According to our database1, Rachel Redberg authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Privacy Profiles for Private Selection.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Noise-adding and beyond: A study in data-adaptive methods for differential privacy
PhD thesis, 2023

Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy.
CoRR, 2023

Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Differentially Private Linear Sketches: Efficient Implementations and Applications.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Tree++: Truncated Tree Based Graph Kernels.
IEEE Trans. Knowl. Data Eng., 2021

Privately Publishable Per-instance Privacy.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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