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2020 – today
- 2024
[c6]Vitaly Feldman, Audra McMillan, Satchit Sivakumar, Kunal Talwar:
Instance-Optimal Private Density Estimation in the Wasserstein Distance. NeurIPS 2024- [i6]Vitaly Feldman, Audra McMillan, Satchit Sivakumar, Kunal Talwar:
Instance-Optimal Private Density Estimation in the Wasserstein Distance. CoRR abs/2406.19566 (2024) - 2023
- [c5]Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith:
The Price of Differential Privacy under Continual Observation. ICML 2023: 14654-14678 - [c4]Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith:
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation. NeurIPS 2023 - [c3]Mark Bun, Marco Gaboardi
, Max Hopkins, Russell Impagliazzo, Rex Lei, Toniann Pitassi, Satchit Sivakumar, Jessica Sorrell:
Stability Is Stable: Connections between Replicability, Privacy, and Adaptive Generalization. STOC 2023: 520-527 - [i5]Mark Bun, Marco Gaboardi, Max Hopkins, Russell Impagliazzo, Rex Lei, Toniann Pitassi, Satchit Sivakumar, Jessica Sorrell:
Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization. CoRR abs/2303.12921 (2023) - [i4]Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith:
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation. CoRR abs/2306.06723 (2023) - 2022
- [i3]Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith, Marika Swanberg:
Differentially Private Sampling from Distributions. CoRR abs/2211.08193 (2022) - 2021
- [c2]Satchit Sivakumar, Mark Bun, Marco Gaboardi:
Multiclass versus Binary Differentially Private PAC Learning. NeurIPS 2021: 22943-22954 - [c1]Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith, Marika Swanberg:
Differentially Private Sampling from Distributions. NeurIPS 2021: 28983-28994 - [i2]Mark Bun, Marco Gaboardi, Satchit Sivakumar:
Multiclass versus Binary Differentially Private PAC Learning. CoRR abs/2107.10870 (2021) - [i1]Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith:
The Price of Differential Privacy under Continual Observation. CoRR abs/2112.00828 (2021)
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