Wide Network Learning with Differential Privacy

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Wide Network Learning with Differential Privacy

1 March 2021

Meisam Hejazinia

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Papers citing "Wide Network Learning with Differential Privacy"

17 / 17 papers shown

Title
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates Puning Zhao Xiaogang Xu Zhe Liu Chong Wang Rongfei Fan Qingming Li 72 1 0 19 Aug 2024
Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise Yuhan Liu Sheng Wang Yi-xiao Liu Feifei Li Hong Chen 68 1 0 29 Jul 2024
Weights Shuffling for Improving DPSGD in Transformer-based Models Jungang Yang Zhe Ji Liyao Xiang 101 0 0 22 Jul 2024
Sparsity-Preserving Differentially Private Training of Large Embedding Models Badih Ghazi Yangsibo Huang Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 61 2 0 14 Nov 2023
Private Learning with Public Features Walid Krichene Nicolas Mayoraz Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 70 8 0 24 Oct 2023
Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning Hanshen Xiao Jun Wan Srini Devadas 33 8 0 06 Sep 2023
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework Hua Wang Sheng-yang Gao Huanyu Zhang Weijie J. Su Milan Shen 111 5 0 09 Jun 2023
A Note On Interpreting Canary Exposure Matthew Jagielski 83 5 0 31 May 2023
Tight Data Access Bounds for Private Top- $k$ Selection Hao Wu O. Ohrimenko Anthony Wirth 66 0 0 31 Jan 2023
Differentially Private Image Classification from Features Harsh Mehta Walid Krichene Abhradeep Thakurta Alexey Kurakin Ashok Cutkosky 110 8 0 24 Nov 2022
$Privacy accounting $\varepsilon$conomics: Improving differential privacy composition via a posteriori bounds$ Privacy accounting $\varepsilon$ conomics: Improving differential privacy composition via a posteriori bounds Valentin Hartmann Vincent Bindschaedler Alexander Bentkamp Robert West 52 1 0 06 May 2022
Unlocking High-Accuracy Differentially Private Image Classification through Scale Soham De Leonard Berrada Jamie Hayes Samuel L. Smith Borja Balle 97 233 0 28 Apr 2022
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics A. Banerjee Tiancong Chen Xinyan Li Yingxue Zhou 82 8 0 09 Jan 2022
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions Adam Lesnikowski Gabriel de Souza P. Moreira Sara Rabhi K. Byleen-Higley ELM 57 2 0 21 Dec 2021
Improving Differentially Private SGD via Randomly Sparsified Gradients Junyi Zhu Matthew B. Blaschko 63 5 0 01 Dec 2021
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability Qiyiwen Zhang Zhiqi Bu Kan Chen Qi Long BDL UQCV 65 11 0 18 Jul 2021
Noisy Truncated SGD: Optimization and Generalization Yingxue Zhou Xinyan Li A. Banerjee 52 3 0 26 Feb 2021