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What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
1 March 2023
Priyanka Nanayakkara
Mary Anne Smart
Rachel Cummings
Gabriel Kaptchuk
Elissa M. Redmiles
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Papers citing
"What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy"
24 / 24 papers shown
Title
Empirical Privacy Variance
Yuzheng Hu
Fan Wu
Ruicheng Xian
Yuhang Liu
Lydia Zakynthinou
Pritish Kamath
Chiyuan Zhang
David A. Forsyth
62
0
0
16 Mar 2025
Investigating User Perspectives on Differentially Private Text Privatization
Stephen Meisenbacher
Alexandra Klymenko
Alexander Karpp
Florian Matthes
49
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
39
0
0
04 Mar 2025
Privacy and Accuracy-Aware AI/ML Model Deduplication
Hong Guan
Lei Yu
Lixi Zhou
Li Xiong
Kanchan Chowdhury
Lulu Xie
Xusheng Xiao
Jia Zou
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
46
0
0
03 Mar 2025
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives
Lucas Rosenblatt
Bill Howe
Julia Stoyanovich
59
0
0
17 Dec 2024
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions
Robin Carpentier
B. Zhao
H. Asghar
Dali Kaafar
70
1
0
18 Nov 2024
Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government
Amol Khanna
Adam McCormick
A. Nguyen
Chris Aguirre
Edward Raff
21
0
0
21 Oct 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
26
1
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
17
1
0
13 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
23
1
0
16 Aug 2024
The Complexities of Differential Privacy for Survey Data
Jorg Drechsler
James Bailie
14
3
0
13 Aug 2024
Privacy-Preserving Collaborative Genomic Research: A Real-Life Deployment and Vision
Zahra Rahmani
Nahal Shahini
Nadav Gat
Zebin Yun
Yuzhou Jiang
Ofir Farchy
Yaniv Harel
Vipin Chaudhary
Mahmood Sharif
Erman Ayday
SyDa
27
1
0
12 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
35
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
44
6
0
02 Jul 2024
Centering Policy and Practice: Research Gaps around Usable Differential Privacy
Rachel Cummings
Jayshree Sarathy
28
7
0
17 Jun 2024
From Theory to Comprehension: A Comparative Study of Differential Privacy and
k
k
k
-Anonymity
Saskia Nuñez von Voigt
Luise Mehner
Florian Tschorsch
24
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
25
3
0
09 Feb 2024
Integrating Differential Privacy and Contextual Integrity
Sebastian Benthall
Rachel Cummings
21
8
0
28 Jan 2024
Within-Dataset Disclosure Risk for Differential Privacy
Zhiru Zhu
Raul Castro Fernandez
10
0
0
19 Oct 2023
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy
Zeki Kazan
Jerome P. Reiter
19
3
0
19 Jun 2023
PILLAR: How to make semi-private learning more effective
Francesco Pinto
Yaxian Hu
Fanny Yang
Amartya Sanyal
25
11
0
06 Jun 2023
Comprehension from Chaos: Towards Informed Consent for Private Computation
Bailey Kacsmar
Vasisht Duddu
Kyle Tilbury
Blase Ur
Florian Kerschbaum
14
3
0
13 Nov 2022
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
79
278
0
02 Oct 2017
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