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2002.04049
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Guidelines for Implementing and Auditing Differentially Private Systems
10 February 2020
Daniel Kifer
Solomon Messing
Aaron Roth
Abhradeep Thakurta
Qiang Yan
Re-assign community
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Papers citing
"Guidelines for Implementing and Auditing Differentially Private Systems"
20 / 20 papers shown
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2024
Sarah H. Cen
Rohan Alur
302
12
0
07 Oct 2024
Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy
Proceedings on Privacy Enhancing Technologies (PoPETs), 2024
Mary Anne Smart
Priyanka Nanayakkara
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
200
4
0
16 Aug 2024
Evaluating Google's Protected Audience Protocol
Proceedings on Privacy Enhancing Technologies (PoPETs), 2024
Minjun Long
David Evans
281
2
0
13 May 2024
Differentially Private Fair Binary Classifications
Hrad Ghoukasian
S. Asoodeh
FaML
259
6
0
23 Feb 2024
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Lea Demelius
Roman Kern
Andreas Trügler
SyDa
FedML
256
43
0
28 Sep 2023
Evaluating the Usability of Differential Privacy Tools with Data Practitioners
Ivoline C. Ngong
Brad Stenger
Joseph P. Near
Yuanyuan Feng
296
20
0
24 Sep 2023
The Complexity of Verifying Boolean Programs as Differentially Private
IEEE Computer Security Foundations Symposium (CSF), 2022
Mark Bun
Marco Gaboardi
Ludmila Glinskih
197
7
0
08 Sep 2023
Composition in Differential Privacy for General Granularity Notions (Long Version)
IEEE Computer Security Foundations Symposium (CSF), 2023
Patricia Guerra-Balboa
Àlex Miranda-Pascual
Javier Parra-Arnau
T. Strufe
277
2
0
28 Aug 2023
Random Number Generators and Seeding for Differential Privacy
N. Holohan
SyDa
148
4
0
07 Jul 2023
Seeding with Differentially Private Network Information
M. Rahimian
Fang-Yi Yu
Carlos Hurtado
284
6
0
26 May 2023
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Gonzalo Munilla Garrido
Xiaoyuan Liu
Florian Matthes
Basel Alomair
280
33
0
07 Nov 2022
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime
International Symposium on Information Theory (ISIT), 2022
Wael Alghamdi
S. Asoodeh
Flavio du Pin Calmon
O. Kosut
Lalitha Sankar
Fei Wei
244
13
0
25 Jun 2022
Differentially-Private Sublinear-Time Clustering
International Symposium on Information Theory (ISIT), 2021
Jeremiah Blocki
Elena Grigorescu
Tamalika Mukherjee
160
6
0
27 Dec 2021
Privacy Budget Scheduling
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2021
Tao Luo
Mingen Pan
Pierre Tholoniat
Asaf Cidon
Roxana Geambasu
Mathias Lécuyer
243
34
0
29 Jun 2021
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification
Interspeech (Interspeech), 2021
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Chin-Hui Lee
264
23
0
02 Apr 2021
High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees
Zhe Zhang
Linjun Zhang
FedML
250
3
0
01 Apr 2021
DDUO: General-Purpose Dynamic Analysis for Differential Privacy
IEEE Computer Security Foundations Symposium (CSF), 2021
Chiké Abuah
Alex Silence
David Darais
Joseph P. Near
170
12
0
16 Mar 2021
Dopamine: Differentially Private Federated Learning on Medical Data
Mohammad Malekzadeh
Burak Hasircioglu
N. Mital
K. Katarya
M. E. Ozfatura
Deniz Gündüz
OOD
FedML
252
61
0
27 Jan 2021
The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning)
J. Domingo-Ferrer
David Sánchez
Alberto Blanco-Justicia
305
124
0
04 Nov 2020
Privacy-Preserving Bandits
Conference on Machine Learning and Systems (MLSys), 2019
Mohammad Malekzadeh
D. Athanasakis
Hamed Haddadi
B. Livshits
402
20
0
10 Sep 2019
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