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

1 March 2023

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

25 / 25 papers shown

Title
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
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 50 0 0 03 Mar 2025
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives Lucas Rosenblatt Bill Howe Julia Stoyanovich 78 0 0 17 Dec 2024
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions Robin Carpentier B. Zhao Hassan Jameel Asghar Dali Kaafar 82 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 26 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 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
What to Consider When Considering Differential Privacy for Policy Priyanka Nanayakkara Jessica Hullman 13 2 0 18 Sep 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
The Complexities of Differential Privacy for Survey Data Jorg Drechsler James Bailie 38 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 46 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 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 $k$ -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 32 8 0 28 Jan 2024
Within-Dataset Disclosure Risk for Differential Privacy Zhiru Zhu Raul Castro Fernandez 12 0 0 19 Oct 2023
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy Zeki Kazan Jerome P. Reiter 24 3 0 19 Jun 2023
PILLAR: How to make semi-private learning more effective Francesco Pinto Yaxian Hu Fanny Yang Amartya Sanyal 49 11 0 06 Jun 2023
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
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 91 278 0 02 Oct 2017