Spotlight "differential privacy" Papers

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Instance-Optimality for Private KL Distribution Estimation

Jiayuan Ye, Vitaly Feldman, Kunal Talwar

NEURIPS 2025spotlightarXiv:2505.23620

Private Hyperparameter Tuning with Ex-Post Guarantee

Badih Ghazi, Pritish Kamath, Alexander Knop et al.

NEURIPS 2025spotlightarXiv:2508.15183

Private Set Union with Multiple Contributions

Travis Dick, Haim Kaplan, Alex Kulesza et al.

NEURIPS 2025spotlight

Purifying Approximate Differential Privacy with Randomized Post-processing

Yingyu Lin, Erchi Wang, Yian Ma et al.

NEURIPS 2025spotlightarXiv:2503.21071
2
citations

Sketched Gaussian Mechanism for Private Federated Learning

Qiaobo Li, Zhijie Chen, Arindam Banerjee

NEURIPS 2025spotlightarXiv:2509.08195

Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Chulin Xie, Zinan Lin, Arturs Backurs et al.

ICML 2024spotlightarXiv:2403.01749

Perturb-and-Project: Differentially Private Similarities and Marginals

Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto et al.

ICML 2024spotlightarXiv:2406.04868

Replicable Learning of Large-Margin Halfspaces

Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen et al.

ICML 2024spotlightarXiv:2402.13857