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2110.06452
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"I need a better description'': An Investigation Into User Expectations For Differential Privacy
13 October 2021
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
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Papers citing
""I need a better description'': An Investigation Into User Expectations For Differential Privacy"
45 / 45 papers shown
Title
Bipartite Randomized Response Mechanism for Local Differential Privacy
Shun Zhang
Hai Zhu
Zhili Chen
N. Xiong
23
0
0
29 Apr 2025
Are Users More Willing to Use Formally Verified Password Managers?
Carolina Carreira
J. Ferreira
A. Mendes
Nicolas Christin
43
0
0
02 Apr 2025
Empirical Privacy Variance
Yuzheng Hu
Fan Wu
Ruicheng Xian
Yuhang Liu
Lydia Zakynthinou
Pritish Kamath
Chiyuan Zhang
David A. Forsyth
64
0
0
16 Mar 2025
Investigating User Perspectives on Differentially Private Text Privatization
Stephen Meisenbacher
Alexandra Klymenko
Alexander Karpp
Florian Matthes
57
0
0
12 Mar 2025
Adopt a PET! An Exploration of PETs, Policy, and Practicalities for Industry in Canada
Masoumeh Shafieinejad
Xi He
Bailey Kacsmar
OnRL
44
0
0
04 Mar 2025
Video-DPRP: A Differentially Private Approach for Visual Privacy-Preserving Video Human Activity Recognition
Allassan Tchangmena A Nken
Susan Mckeever
Peter Corcoran
Ihsan Ullah
PICV
50
0
0
03 Mar 2025
Advancing privacy in learning analytics using differential privacy
Qinyi Liu
Ronas Shakya
Mohammad Khalil
Jelena Jovanovic
41
1
0
03 Jan 2025
SoK: Usability Studies in Differential Privacy
Onyinye Dibia
Brad Stenger
Steven Baldasty
Mako Bates
Ivoline C. Ngong
Yuanyuan Feng
Joseph P. Near
76
0
0
22 Dec 2024
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives
Lucas Rosenblatt
Bill Howe
Julia Stoyanovich
78
0
0
17 Dec 2024
But Can You Use It? Design Recommendations for Differentially Private Interactive Systems
Liudas Panavas
Joshua Snoke
Erika Tyagi
C. Bowen
Aaron R. Williams
82
0
0
16 Dec 2024
Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction
Shuning Zhang
Xin Yi
Haobin Xing
Lyumanshan Ye
Yongquan Hu
Hewu Li
34
2
0
19 Oct 2024
"I inherently just trust that it works": Investigating Mental Models of Open-Source Libraries for Differential Privacy
Patrick Song
Jayshree Sarathy
Michael Shoemate
Salil P. Vadhan
30
1
0
13 Oct 2024
Open Science Practices by Early Career HCI Researchers: Perceptions, Challenges, and Benefits
Tatiana Chakravorti
Sanjana Gautam
Priya Silverstein
Sarah M. Rajtmajer
AI4CE
18
1
0
05 Oct 2024
Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy
Mary Anne Smart
Priyanka Nanayakkara
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
30
1
0
16 Aug 2024
An applied Perspective: Estimating the Differential Identifiability Risk of an Exemplary SOEP Data Set
Jonas Allmann
Saskia Nuñez von Voigt
Florian Tschorsch
33
0
0
04 Jul 2024
The Role of Privacy Guarantees in Voluntary Donation of Private Health Data for Altruistic Goals
Ruizhe Wang
Roberta De Viti
Aarushi Dubey
Elissa M. Redmiles
42
1
0
03 Jul 2024
Attack-Aware Noise Calibration for Differential Privacy
B. Kulynych
Juan Felipe Gomez
G. Kaissis
Flavio du Pin Calmon
Carmela Troncoso
57
6
0
02 Jul 2024
Centering Policy and Practice: Research Gaps around Usable Differential Privacy
Rachel Cummings
Jayshree Sarathy
38
7
0
17 Jun 2024
From Theory to Comprehension: A Comparative Study of Differential Privacy and
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k
k
-Anonymity
Saskia Nuñez von Voigt
Luise Mehner
Florian Tschorsch
45
1
0
05 Apr 2024
You Still See Me: How Data Protection Supports the Architecture of ML Surveillance
Rui-Jie Yew
Lucy Qin
Suresh Venkatasubramanian
41
3
0
09 Feb 2024
Integrating Differential Privacy and Contextual Integrity
Sebastian Benthall
Rachel Cummings
34
8
0
28 Jan 2024
Within-Dataset Disclosure Risk for Differential Privacy
Zhiru Zhu
Raul Castro Fernandez
12
0
0
19 Oct 2023
Evaluating the Usability of Differential Privacy Tools with Data Practitioners
Ivoline C. Ngong
Brad Stenger
Joseph P. Near
Yuanyuan Feng
26
12
0
24 Sep 2023
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?
Christopher F. Weiss
Frauke Kreuter
Ivan Habernal
37
4
0
13 Jul 2023
When Synthetic Data Met Regulation
Georgi Ganev
29
2
0
01 Jul 2023
"Is Reporting Worth the Sacrifice of Revealing What I Have Sent?": Privacy Considerations When Reporting on End-to-End Encrypted Platforms
Leijie Wang
Ruotong Wang
S. Williams-Ceci
Sanketh Menda
Amy X. Zhang
23
2
0
18 Jun 2023
Training Data Extraction From Pre-trained Language Models: A Survey
Shotaro Ishihara
26
46
0
25 May 2023
Have it your way: Individualized Privacy Assignment for DP-SGD
Franziska Boenisch
Christopher Muhl
Adam Dziedzic
Roy Rinberg
Nicolas Papernot
18
17
0
29 Mar 2023
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
Priyanka Nanayakkara
Mary Anne Smart
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
40
33
0
01 Mar 2023
Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science
Jayshree Sarathy
Sophia Song
Audrey Haque
Tania Schlatter
Salil P. Vadhan
28
23
0
23 Feb 2023
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
Florian Tramèr
Gautam Kamath
Nicholas Carlini
SILM
49
67
0
13 Dec 2022
Comprehension from Chaos: Towards Informed Consent for Private Computation
Bailey Kacsmar
Vasisht Duddu
Kyle Tilbury
Blase Ur
Florian Kerschbaum
27
3
0
13 Nov 2022
Privacy Explanations - A Means to End-User Trust
Wasja Brunotte
Alexander Specht
Larissa Chazette
K. Schneider
29
25
0
18 Oct 2022
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats
Daniel Franzen
Saskia Nuñez von Voigt
Peter Sorries
Florian Tschorsch
Claudia Muller-Birn
28
19
0
23 Aug 2022
New Differential Privacy Communication Pipeline and Design Framework
Jinyuan Jia
Z. Wen
Zheli Liu
Changyu Dong
24
0
0
04 Aug 2022
Statistical Data Privacy: A Song of Privacy and Utility
Aleksandra B. Slavkovic
Jeremy Seeman
23
26
0
06 May 2022
"Am I Private and If So, how Many?" -- Using Risk Communication Formats for Making Differential Privacy Understandable
Daniel Franzen
Saskia Nuñez von Voigt
Peter Sorries
Florian Tschorsch
Claudia Muller-Birn Freie Universitat Berlin
28
9
0
08 Apr 2022
SoK: Differential Privacy on Graph-Structured Data
Tamara T. Mueller
Dmitrii Usynin
Johannes C. Paetzold
Daniel Rueckert
Georgios Kaissis
27
14
0
17 Mar 2022
Using Illustrations to Communicate Differential Privacy Trust Models: An Investigation of Users' Comprehension, Perception, and Data Sharing Decision
Aiping Xiong
Chuhao Wu
Tianhao Wang
R. Proctor
Jeremiah Blocki
Ninghui Li
S. Jha
13
13
0
21 Feb 2022
Local Differential Privacy for Belief Functions
Qiyu Li
Chunlai Zhou
Biao Qin
Zhiqiang Xu
21
3
0
17 Feb 2022
Differentially Private Graph Classification with GNNs
Tamara T. Mueller
Johannes C. Paetzold
Chinmay Prabhakar
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
50
18
0
05 Feb 2022
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases
Priyanka Nanayakkara
Johes Bater
Xi He
Jessica Hullman
Jennie Duggan
22
49
0
16 Jan 2022
A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index
Georgios Kaissis
Moritz Knolle
F. Jungmann
Alexander Ziller
Dmitrii Usynin
Daniel Rueckert
22
1
0
22 Sep 2021
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
38
16
0
20 Sep 2021
Differential Privacy for Government Agencies -- Are We There Yet?
Joerg Drechsler
26
20
0
17 Feb 2021
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