Towards Understanding the Impact of Model Size on Differential Private Classification

27 November 2021

Papers citing "Towards Understanding the Impact of Model Size on Differential Private Classification"

8 / 8 papers shown

Title
An Optimization Framework for Differentially Private Sparse Fine-Tuning Mehdi Makni Kayhan Behdin Gabriel Afriat Zheng Xu Sergei Vassilvitskii Natalia Ponomareva Hussein Hazimeh Rahul Mazumder 56 0 0 17 Mar 2025
Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients Mohamed Nabih Ali Alessio Brutti Daniele Falavigna 45 0 0 27 May 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering Huifa Li Jie Fu Zhili Chen Xiaomin Yang Haitao Liu Xinpeng Ling 27 1 0 06 Nov 2023
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining Kecen Li Chen Gong Zhixiang Li Yuzhong Zhao Xinwen Hou Tianhao Wang 35 10 0 19 Oct 2023
Federated Learning with Differential Privacy for End-to-End Speech Recognition Martin Pelikan Sheikh Shams Azam Vitaly Feldman Jan Honza Silovsky Kunal Talwar Tatiana Likhomanenko 50 8 0 29 Sep 2023
Fine-Tuning with Differential Privacy Necessitates an Additional Hyperparameter Search Yannis Cattan Christopher A. Choquette-Choo Nicolas Papernot Abhradeep Thakurta 26 20 0 05 Oct 2022
Unlocking High-Accuracy Differentially Private Image Classification through Scale Soham De Leonard Berrada Jamie Hayes Samuel L. Smith Borja Balle 35 218 0 28 Apr 2022