Papers
Differentially Private Boxplots
Kelly Ramsay, Jairo Diaz-Rodriguez
Differentially Private Continual Release of Histograms and Related Queries
Monika Henzinger, A. R. Sricharan, Teresa Anna Steiner
Differentially Private Federated $k$-Means Clustering with Server-Side Data
Jonathan Scott, Christoph H. Lampert, David Saulpic
Differentially Private Federated Learning with Time-Adaptive Privacy Spending
Shahrzad Kiani, Nupur Kulkarni, Adam Dziedzic et al.
Differentially Private Fine-Tuning of Diffusion Models
Yu-Lin Tsai, Yizhe Li, Chia-Mu Yu et al.
Differentially Private Graph Data Release: Inefficiencies & Unfairness
Ferdinando Fioretto, Diptangshu Sen, Juba Ziani
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition
Idris Zakariyya, Linda Tran, Kaushik Bhargav Sivangi et al.
Differentially Private Kernelized Contextual Bandits
Nikola Pavlovic, Sudeep Salgia, Qing Zhao
Differentially private learners for heterogeneous treatment effects
Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel
Differentially Private Learning Needs Better Model Initialization and Self-Distillation
Ivoline C. Ngong, Joseph Near, Niloofar Mireshghallah
Differentially Private Multi-Sampling from Distributions
Albert Cheu, Debanuj Nayak
Differentially Private Multivariate Medians
Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri
Differentially private optimization for non-decomposable objective functions
Weiwei Kong, Andres Munoz medina, Mónica Ribero
Differentially Private Prototypes for Imbalanced Transfer Learning
Dariush Wahdany, Matthew Jagielski, Adam Dziedzic et al.
Differentially Private Range Queries with Correlated Input Perturbation
Prathamesh Dharangutte, Jie Gao, Ruobin Gong et al.
Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
Rachel Cummings, Alessandro Epasto, Jieming Mao et al.
Differentially Private Steering for Large Language Model Alignment
Anmol Goel, Yaxi Hu, Iryna Gurevych et al.
Differentially Private Synthetic Graphs Preserving Triangle-Motif Cuts
Pan Peng, Hangyu Xu
Differential Mamba
Nadav Schneider, Itamar Zimerman, Eliya Nachmani
Differential Mamba
Nadav Schneider, Itamar Zimerman, Eliya Nachmani
Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms
Andrea Bertazzi, Tim Johnston, Gareth O. Roberts et al.
Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients
Yue Huang, Jiaojiao Zhang, Qing Ling
Differential Privacy Mechanisms in Neural Tangent Kernel Regression
Jiuxiang Gu, Yingyu Liang, Zhizhou Sha et al.
Differential Privacy Under Class Imbalance: Methods and Empirical Insights
Lucas Rosenblatt, Yuliia Lut, Ethan Turok et al.
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
Puning Zhao, Jiafei Wu, Zhe Liu et al.