Label Differential Privacy via Aggregation

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Label Differential Privacy via Aggregation

16 October 2023

Anand Brahmbhatt

Shreyas Havaldar

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Papers citing "Label Differential Privacy via Aggregation"

16 / 16 papers shown

Title
Learning from Aggregated Data: Curated Bags versus Random Bags Lin Chen Gang Fu Amin Karbasi Vahab Mirrokni FedML 58 10 0 16 May 2023
Easy Learning from Label Proportions R. Busa-Fekete Heejin Choi Travis Dick Claudio Gentile Andrés Munoz Medina 41 14 0 06 Feb 2023
Regression with Label Differential Privacy Badih Ghazi Pritish Kamath Ravi Kumar Ethan Leeman Pasin Manurangsi A. Varadarajan Chiyuan Zhang 77 17 0 12 Dec 2022
Learning from Label Proportions by Learning with Label Noise Jianxin Zhang Yutong Wang Clayton Scott NoLa 48 25 0 04 Mar 2022
Challenges and approaches to privacy preserving post-click conversion prediction Conor O'Brien Arvind Thiagarajan Sourav Das Rafael Barreto C. Verma Tim Hsu James Neufeld Jonathan J. Hunt OffRL 31 10 0 29 Jan 2022
Label differential privacy via clustering Hossein Esfandiari Vahab Mirrokni Umar Syed Sergei Vassilvitskii FedML 56 26 0 05 Oct 2021
Antipodes of Label Differential Privacy: PATE and ALIBI Mani Malek Ilya Mironov Karthik Prasad I. Shilov Florian Tramèr 61 64 0 07 Jun 2021
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 100 151 0 11 Feb 2021
Learning from Label Proportions: A Mutual Contamination Framework Clayton Scott Jianxin Zhang SSL 52 13 0 12 Jun 2020
Learning from Label Proportions with Generative Adversarial Networks Jiabin Liu Bo Wang Zhiquan Qi Ying-jie Tian Yong Shi GAN 39 40 0 05 Sep 2019
Deep multi-class learning from label proportions Gabriel Dulac-Arnold Neil Zeghidour Marco Cuturi Lucas Beyer Jean-Philippe Vert 52 50 0 30 May 2019
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Weiping Song Chence Shi Zhiping Xiao Zhijian Duan Yewen Xu Ming Zhang Jian Tang CML 85 856 0 29 Oct 2018
Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search Marcelo Tallis Pranjul Yadav 65 28 0 25 May 2018
Weakly Supervised Classification in High Energy Physics Lucio Dery Benjamin Nachman F. Rubbo A. Schwartzman 63 119 0 01 Feb 2017
On Learning from Label Proportions Felix X. Yu Krzysztof Choromanski Sanjiv Kumar Tony Jebara Shih-Fu Chang 82 84 0 24 Feb 2014
Learning about individuals from group statistics H. Kück Nando de Freitas 66 117 0 04 Jul 2012