Private Multi-Winner Voting for Machine Learning

23 November 2022

Adam Dziedzic

Christopher A. Choquette-Choo

Natalie Dullerud

Vinith Suriyakumar

Ali Shahin Shamsabadi

Muhammad Ahmad Kaleem

Papers citing "Private Multi-Winner Voting for Machine Learning"

31 / 31 papers shown

Title
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot Thomas Steinke 181 129 0 07 Oct 2021
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification Chao-Han Huck Yang Sabato Marco Siniscalchi Chin-Hui Lee 101 22 0 02 Apr 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 95 58 0 09 Feb 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning Milad Nasr Shuang Song Abhradeep Thakurta Nicolas Papernot Nicholas Carlini MIACV FedML 134 224 0 11 Jan 2021
A bounded-noise mechanism for differential privacy Y. Dagan Gil Kur 85 23 0 07 Dec 2020
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other? Guoqiang Wu Jun Zhu 35 27 0 16 Nov 2020
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization P. Subramani Nicholas Vadivelu Gautam Kamath 90 83 0 18 Oct 2020
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings Vinith Suriyakumar Nicolas Papernot Anna Goldenberg Marzyeh Ghassemi OOD 72 67 0 13 Oct 2020
Asymmetric Loss For Multi-Label Classification Emanuel Ben-Baruch T. Ridnik Nadav Zamir Asaf Noy Itamar Friedman M. Protter Lihi Zelnik-Manor 86 541 0 29 Sep 2020
Label-Only Membership Inference Attacks Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot MIACV MIALM 96 515 0 28 Jul 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Dingfan Chen Tribhuvanesh Orekondy Mario Fritz SyDa 56 185 0 15 Jun 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 73 165 0 25 May 2020
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen Hsiang-Fu Yu Sujay Sanghavi Inderjit Dhillon 45 8 0 01 Apr 2020
On the limits of cross-domain generalization in automated X-ray prediction Joseph Paul Cohen Mohammad Hashir Rupert Brooks H. Bertrand OOD 85 130 0 06 Feb 2020
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models Amrita Roy Chowdhury Theodoros Rekatsinas S. Jha 41 11 0 30 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 145 3,033 0 06 May 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 74 109 0 22 Feb 2019
What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain Edith Elkind Piotr Faliszewski J. Laslier P. Skowron A. Slinko Nimrod Talmon 56 77 0 26 Jan 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 69 615 0 22 Jan 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum M. Lungren Chih-ying Deng Yifan Peng Zhiyong Lu R. Mark Seth Berkowitz Steven Horng MedIm 98 821 0 21 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 112 2,602 0 21 Jan 2019
Scalable Private Learning with PATE Nicolas Papernot Shuang Song Ilya Mironov A. Raghunathan Kunal Talwar Ulfar Erlingsson 106 618 0 24 Feb 2018
Renyi Differential Privacy Ilya Mironov 77 1,263 0 24 Feb 2017
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 77 1,020 0 18 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 775 36,861 0 25 Aug 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,130 0 01 Jul 2016
Differentially Private Random Decision Forests using Smooth Sensitivity Sam Fletcher M. Islam 54 82 0 11 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
LSHTC: A Benchmark for Large-Scale Text Classification Ioannis Partalas Aris Kosmopoulos Nicolas Baskiotis Thierry Artières George Giannakopoulos Éric Gaussier Ion Androutsopoulos Massih-Reza Amini Patrick Gallinari 52 181 0 30 Mar 2015
Differentially- and non-differentially-private random decision trees Mariusz Bojarski A. Choromańska K. Choromanski Yann LeCun 78 31 0 26 Oct 2014
The Composition Theorem for Differential Privacy Peter Kairouz Sewoong Oh Pramod Viswanath 120 682 0 04 Nov 2013