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What Are the Chances? Explaining the Epsilon Parameter in Differential
  Privacy

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
ArXivPDFHTML

Papers citing "What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy"

24 / 24 papers shown
Title
Empirical Privacy Variance
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
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
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
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
"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
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
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
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
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
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
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 $k$-Anonymity
From Theory to Comprehension: A Comparative Study of Differential Privacy and kkk-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
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
Integrating Differential Privacy and Contextual Integrity
Sebastian Benthall
Rachel Cummings
21
8
0
28 Jan 2024
Within-Dataset Disclosure Risk for Differential Privacy
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
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
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
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
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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