An Efficient DP-SGD Mechanism for Large Scale NLP Models

14 July 2021

Papers citing "An Efficient DP-SGD Mechanism for Large Scale NLP Models"

8 / 8 papers shown

Title
A Different Level Text Protection Mechanism With Differential Privacy Qingwen Fu 41 0 0 05 Sep 2024
Private Meeting Summarization Without Performance Loss Seolhwa Lee Anders Søgaard 29 2 0 25 May 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 30 18 0 22 Jan 2023
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping Jiyan He Xuechen Li Da Yu Huishuai Zhang Janardhan Kulkarni Y. Lee A. Backurs Nenghai Yu Jiang Bian 30 46 0 03 Dec 2022
Privacy-preserving Deep Learning based Record Linkage Thilina Ranbaduge Dinusha Vatsalan Ming Ding 19 10 0 03 Nov 2022
Towards Understanding the Impact of Model Size on Differential Private Classification Yinchen Shen Zhiguo Wang Ruoyu Sun Xiaojing Shen 24 11 0 27 Nov 2021
NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU Edward H. Lee M. M. Krell Alexander Tsyplikhin Victoria Rege E. Colak Kristen W. Yeom FedML 21 0 0 24 Sep 2021
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 150 420 0 29 Nov 2018