Privacy-preserving Prediction

27 March 2018

Papers citing "Privacy-preserving Prediction"

22 / 22 papers shown

Title
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 109 1 0 12 Mar 2025
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization Dun Zeng Zheshun Wu Shiyu Liu Yu Pan Xiaoying Tang Zenglin Xu MLT FedML 89 1 0 25 Nov 2024
Can Copyright be Reduced to Privacy? N. Elkin-Koren Uri Y. Hacohen Roi Livni Shay Moran 32 21 0 24 May 2023
Bagging Provides Assumption-free Stability Jake A. Soloff Rina Foygel Barber Rebecca Willett 19 9 0 30 Jan 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 27 18 0 22 Jan 2023
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores Ziqi Yang Li-Juan Wang D. Yang Jie Wan Ziming Zhao E. Chang Fan Zhang Kui Ren AAML 24 15 0 01 Dec 2022
One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy Dayong Ye Sheng Shen Tianqing Zhu B. Liu Wanlei Zhou MIACV 16 61 0 13 Mar 2022
Public Data-Assisted Mirror Descent for Private Model Training Ehsan Amid Arun Ganesh Rajiv Mathews Swaroop Indra Ramaswamy Shuang Song Thomas Steinke Vinith M. Suriyakumar Om Thakkar Abhradeep Thakurta 13 49 0 01 Dec 2021
Network Generation with Differential Privacy Xu Zheng Nicholas McCarthy Jer Hayes 22 2 0 17 Nov 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 20 13 0 19 Jul 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 11 174 0 08 Jun 2021
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 34 125 0 05 Aug 2020
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence Murat A. Erdogdu Rasa Hosseinzadeh Matthew Shunshi Zhang 86 41 0 22 Jul 2020
The Trade-Offs of Private Prediction L. V. D. van der Maaten Awni Y. Hannun 17 22 0 09 Jul 2020
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses Raef Bassily Vitaly Feldman Cristóbal Guzmán Kunal Talwar MLT 13 192 0 12 Jun 2020
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy Vahid Mirjalili S. Raschka Arun Ross PICV CVBM 22 100 0 02 Jan 2020
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 21 481 0 12 Jun 2019
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate Vitaly Feldman J. Vondrák 21 154 0 27 Feb 2019
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment Ziqi Yang E. Chang Zhenkai Liang MLAU 19 60 0 22 Feb 2019
Model Reconstruction from Model Explanations S. Milli Ludwig Schmidt Anca Dragan Moritz Hardt FAtt 19 177 0 13 Jul 2018
Private PAC learning implies finite Littlestone dimension N. Alon Roi Livni M. Malliaris Shay Moran 13 109 0 04 Jun 2018
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity Vitaly Feldman David Xiao 172 71 0 25 Feb 2014