ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.06452
  4. Cited By
"I need a better description'': An Investigation Into User Expectations
  For Differential Privacy

"I need a better description'': An Investigation Into User Expectations For Differential Privacy

13 October 2021
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
ArXiv (abs)PDFHTML

Papers citing ""I need a better description'': An Investigation Into User Expectations For Differential Privacy"

29 / 29 papers shown
Title
From Perception to Protection: A Developer-Centered Study of Security and Privacy Threats in Extended Reality (XR)
From Perception to Protection: A Developer-Centered Study of Security and Privacy Threats in Extended Reality (XR)
Kunlin Cai
Jinghuai Zhang
Ying Li
Z. J. Wang
Xun Chen
Tianshi Li
Yuan Tian
20
0
0
08 Sep 2025
An Interactive Framework for Finding the Optimal Trade-off in Differential Privacy
An Interactive Framework for Finding the Optimal Trade-off in Differential Privacy
Yaohong Yang
Aki Rehn
Sammie Katt
Antti Honkela
Samuel Kaski
28
0
0
04 Sep 2025
Bipartite Randomized Response Mechanism for Local Differential Privacy
Bipartite Randomized Response Mechanism for Local Differential Privacy
Shun Zhang
Hai Zhu
Zhili Chen
N. Xiong
118
0
0
29 Apr 2025
Are Users More Willing to Use Formally Verified Password Managers?
Are Users More Willing to Use Formally Verified Password Managers?
Carolina Carreira
J. Ferreira
A. Mendes
Nicolas Christin
95
0
0
02 Apr 2025
Empirical Privacy Variance
Empirical Privacy Variance
Yuzheng Hu
Fan Wu
Ruicheng Xian
Yuhang Liu
Lydia Zakynthinou
Pritish Kamath
Chiyuan Zhang
David A. Forsyth
276
1
0
16 Mar 2025
Adopt a PET! An Exploration of PETs, Policy, and Practicalities for Industry in Canada
Adopt a PET! An Exploration of PETs, Policy, and Practicalities for Industry in Canada
Masoumeh Shafieinejad
Xi He
Bailey Kacsmar
OnRL
177
1
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
149
0
0
03 Mar 2025
Advancing privacy in learning analytics using differential privacy
Advancing privacy in learning analytics using differential privacy
Qinyi Liu
Ronas Shakya
Mohammad Khalil
Jelena Jovanovic
127
8
0
03 Jan 2025
SoK: Usability Studies in Differential Privacy
SoK: Usability Studies in Differential Privacy
Onyinye Dibia
Brad Stenger
Brad Stenger
Steven Baldasty
Mako Bates
Ivoline C. Ngong
Yuanyuan Feng
Joseph P. Near
174
3
0
22 Dec 2024
Are Data Experts Buying into Differentially Private Synthetic Data?
  Gathering Community Perspectives
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives
Lucas Rosenblatt
Bill Howe
Julia Stoyanovich
156
1
0
17 Dec 2024
An applied Perspective: Estimating the Differential Identifiability Risk
  of an Exemplary SOEP Data Set
An applied Perspective: Estimating the Differential Identifiability Risk of an Exemplary SOEP Data Set
Jonas Allmann
Saskia Nuñez von Voigt
Florian Tschorsch
99
0
0
04 Jul 2024
Attack-Aware Noise Calibration for Differential Privacy
Attack-Aware Noise Calibration for Differential Privacy
B. Kulynych
Juan Felipe Gomez
G. Kaissis
Flavio du Pin Calmon
Carmela Troncoso
179
13
0
02 Jul 2024
Evaluating the Usability of Differential Privacy Tools with Data
  Practitioners
Evaluating the Usability of Differential Privacy Tools with Data Practitioners
Ivoline C. Ngong
Brad Stenger
Joseph P. Near
Yuanyuan Feng
148
18
0
24 Sep 2023
When Synthetic Data Met Regulation
When Synthetic Data Met Regulation
Georgi Ganev
115
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
"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
76
3
0
18 Jun 2023
Training Data Extraction From Pre-trained Language Models: A Survey
Training Data Extraction From Pre-trained Language Models: A Survey
Shotaro Ishihara
165
51
0
25 May 2023
Have it your way: Individualized Privacy Assignment for DP-SGD
Have it your way: Individualized Privacy Assignment for DP-SGD
Franziska Boenisch
Christopher Muhl
Adam Dziedzic
Roy Rinberg
Nicolas Papernot
164
20
0
29 Mar 2023
What Are the Chances? Explaining the Epsilon Parameter in Differential
  Privacy
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
Priyanka Nanayakkara
Mary Anne Smart
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
138
44
0
01 Mar 2023
Position: Considerations for Differentially Private Learning with
  Large-Scale Public Pretraining
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
Florian Tramèr
Gautam Kamath
Nicholas Carlini
SILM
241
85
0
13 Dec 2022
Privacy Explanations - A Means to End-User Trust
Privacy Explanations - A Means to End-User Trust
Wasja Brunotte
Alexander Specht
Larissa Chazette
K. Schneider
101
32
0
18 Oct 2022
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees
  of Differential Privacy with Risk Communication Formats
"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
96
24
0
23 Aug 2022
New Differential Privacy Communication Pipeline and Design Framework
New Differential Privacy Communication Pipeline and Design Framework
Jinyuan Jia
Z. Wen
Zheli Liu
Changyu Dong
90
0
0
04 Aug 2022
Statistical Data Privacy: A Song of Privacy and Utility
Statistical Data Privacy: A Song of Privacy and Utility
Aleksandra B. Slavkovic
Jeremy Seeman
90
27
0
06 May 2022
SoK: Differential Privacy on Graph-Structured Data
SoK: Differential Privacy on Graph-Structured Data
Tamara T. Mueller
Dmitrii Usynin
Johannes C. Paetzold
Daniel Rueckert
Georgios Kaissis
134
19
0
17 Mar 2022
Using Illustrations to Communicate Differential Privacy Trust Models: An
  Investigation of Users' Comprehension, Perception, and Data Sharing Decision
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
93
15
0
21 Feb 2022
Local Differential Privacy for Belief Functions
Local Differential Privacy for Belief Functions
Qiyu Li
Chunlai Zhou
Biao Qin
Zhiqiang Xu
103
4
0
17 Feb 2022
Differentially Private Graph Classification with GNNs
Differentially Private Graph Classification with GNNs
Tamara T. Mueller
Johannes C. Paetzold
Chinmay Prabhakar
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
140
23
0
05 Feb 2022
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
183
19
0
20 Sep 2021
Differential Privacy for Government Agencies -- Are We There Yet?
Differential Privacy for Government Agencies -- Are We There Yet?
Joerg Drechsler
138
26
0
17 Feb 2021
1