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14h

Fixed-Parameter Tractability of Private Synthetic Data Generation Badih Ghazi, Cristóbal Guzmán, Pritish Kamath, Alexander Knop, Ravi Kumar, Pasin Manurangsi http://arxiv.org/abs/2606.11283

Computationally tractable robust differentially private mean estimation Kelly Ramsay http://arxiv.org/abs/2606.12654

No Free Lunch for Synthetic Images under Data Scarcity Conditions Borja Arroyo Galende, Alejandro Almodóvar, Patricia A. Apellániz, Juan Parras, Silvia Uribe, Santiago Zazo http://arxiv.org/abs/2606.07640

Differential Privacy Papers

DP4SQL: Differentially Private SQL with Flexible Privacy Policies Andrew Cascio, KinChin Tong, Daniel Kifer, Zeyu Ding, Danfeng Zhang http://arxiv.org/abs/2606.07883

Differentially Private Range Subgraph Counting Xian Chen, Ruobing Bai, Pan Peng http://arxiv.org/abs/2606.08179

Disparate Impact in Synthetic Data Generation Paul Andrey, Michaël Perrot, Batiste Le Bars, Marc Tommasi http://arxiv.org/abs/2606.13105

Let's Ask Gauss: Improved One-Run Privacy Auditing Adya Agrawal, Yu Wei, Jaspal Singh, Malik Magdon-Ismail, Vassilis Zikas http://arxiv.org/abs/2606.12733

Differentially Private Hierarchical Heavy Hitters Ari Biswas, Graham Cormode, Yaron Kanza, Divesh Srivastava, Zhengyi Zhou http://arxiv.org/abs/2606.13563

A Fast Gaussian Mechanism under Continual Observation, with Applications Rasmus Pagh, Sia Sejer http://arxiv.org/abs/2606.11760

Differentially Private Synthetic Data via APIs 4: Tabular Data Toan Tran, Arturs Backurs, Zinan Lin, Victor Reis, Li Xiong, Sergey Yekhanin http://arxiv.org/abs/2606.08259

14h

Differential Privacy Papers