Towards Formalizing the GDPR's Notion of Singling Out

12 April 2019

Papers citing "Towards Formalizing the GDPR's Notion of Singling Out"

42 / 42 papers shown

Title
Generate-then-Verify: Reconstructing Data from Limited Published Statistics Terrance Liu Eileen Xiao Pratiksha Thaker Adam Smith Zhiwei Steven Wu 28 0 0 29 Apr 2025
Releasing Differentially Private Event Logs Using Generative Models Frederik Wangelik Majid Rafiei M. Pourbafrani Wil M.P. van der Aalst 28 0 0 08 Apr 2025
Enabling Humanitarian Applications with Targeted Differential Privacy Nitin Kohli J. Blumenstock 28 0 0 24 Aug 2024
NFDI4Health workflow and service for synthetic data generation, assessment and risk management S. Moazemi Tim Adams Hwei Geok NG Lisa Kühnel Julian Schneider Anatol-Fiete Näher Juliane Fluck Holger Fröhlich 14 0 0 08 Aug 2024
Differentially Private Inductive Miner Max Schulze Yorck Zisgen Moritz Kirschte Esfandiar Mohammadi Agnes Koschmider 18 0 0 05 Jul 2024
Centering Policy and Practice: Research Gaps around Usable Differential Privacy Rachel Cummings Jayshree Sarathy 33 7 0 17 Jun 2024
Data Reconstruction: When You See It and When You Don't Edith Cohen Haim Kaplan Yishay Mansour Shay Moran Kobbi Nissim Uri Stemmer Eliad Tsfadia AAML 42 2 0 24 May 2024
ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries Rachel Cummings Shlomi Hod Jayshree Sarathy Marika Swanberg 39 2 0 02 May 2024
Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging Alexander Ziller Tamara T. Mueller Simon Stieger Leonhard F. Feiner Johannes Brandt R. Braren Daniel Rueckert Georgios Kaissis 53 1 0 05 Dec 2023
From Principle to Practice: Vertical Data Minimization for Machine Learning Robin Staab Nikola Jovanović Mislav Balunović Martin Vechev 29 5 0 17 Nov 2023
SoK: Privacy-Preserving Data Synthesis Yuzheng Hu Fan Wu Q. Li Yunhui Long Gonzalo Munilla Garrido Chang Ge Bolin Ding David A. Forsyth Bo-wen Li D. Song 52 25 0 05 Jul 2023
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning Tamas Madl Weijie Xu Olivia Choudhury Matthew Howard 11 5 0 04 Jul 2023
When Synthetic Data Met Regulation Georgi Ganev 19 2 0 01 Jul 2023
SoK: Log Based Transparency Enhancing Technologies A. Hicks 12 1 0 02 May 2023
Measuring Re-identification Risk CJ Carey Travis Dick Alessandro Epasto Adel Javanmard Josh Karlin ... Andrés Munoz Medina Vahab Mirrokni Gabriel H. Nunes Sergei Vassilvitskii Peilin Zhong 12 9 0 12 Apr 2023
A CI-based Auditing Framework for Data Collection Practices A. Markopoulou R. Trimananda Hao Cui 8 0 0 30 Mar 2023
TraVaG: Differentially Private Trace Variant Generation Using GANs Majid Rafiei Frederik Wangelik M. Pourbafrani Wil M.P. van der Aalst 14 3 0 29 Mar 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging Soroosh Tayebi Arasteh Alexander Ziller Christiane Kuhl Marcus R. Makowski S. Nebelung R. Braren Daniel Rueckert Daniel Truhn Georgios Kaissis MedIm 32 17 0 03 Feb 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David E. Evans Boris Köpf Andrew J. Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 31 35 0 21 Dec 2022
A Unified Framework for Quantifying Privacy Risk in Synthetic Data M. Giomi Franziska Boenisch C. Wehmeyer Borbála Tasnádi 11 56 0 18 Nov 2022
Federated Calibration and Evaluation of Binary Classifiers Graham Cormode Igor L. Markov FedML 33 4 0 22 Oct 2022
TraVaS: Differentially Private Trace Variant Selection for Process Mining Majid Rafiei Frederik Wangelik Wil M.P. van der Aalst 11 4 0 20 Oct 2022
PAC Privacy: Automatic Privacy Measurement and Control of Data Processing Hanshen Xiao S. Devadas 11 11 0 07 Oct 2022
Can the Government Compel Decryption? Don't Trust -- Verify A. Cohen Sarah Scheffler Mayank Varia FedML 21 2 0 04 Aug 2022
Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling Gamal Elkoumy Marlon Dumas 17 5 0 27 Jun 2022
Transparency, Compliance, And Contestability When Code Is(n't) Law A. Hicks AILaw 8 4 0 08 May 2022
Attacks on Deidentification's Defenses A. Cohen AAML 13 19 0 27 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning Ji Gao Sanjam Garg Mohammad Mahmoody Prashant Nalini Vasudevan MIACV AAML 19 22 0 07 Feb 2022
Deletion-Compliance in the Absence of Privacy Jonathan Godin Philippe Lamontagne AILaw 6 3 0 10 Jan 2022
Differentially Private Release of Event Logs for Process Mining Gamal Elkoumy A. Pankova Marlon Dumas 11 7 0 09 Jan 2022
Distribution-Invariant Differential Privacy Xuan Bi Xiaotong Shen 14 12 0 08 Nov 2021
"I need a better description'': An Investigation Into User Expectations For Differential Privacy Rachel Cummings Gabriel Kaptchuk Elissa M. Redmiles 12 80 0 13 Oct 2021
Privacy and Confidentiality in Process Mining -- Threats and Research Challenges Gamal Elkoumy Stephan A. Fahrenkrog-Petersen M. Sani A. Koschmider F. Mannhardt Saskia Nuñez Von Voigt Majid Rafiei Leopold von Waldthausen 23 40 0 01 Jun 2021
Locally private online change point detection Thomas B. Berrett Yi Yu 10 13 0 22 May 2021
Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining Gamal Elkoumy A. Pankova Marlon Dumas 11 19 0 22 Mar 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning Milad Nasr Shuang Song Abhradeep Thakurta Nicolas Papernot Nicholas Carlini MIACV FedML 35 216 0 11 Jan 2021
Sample-efficient proper PAC learning with approximate differential privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi 15 23 0 07 Dec 2020
Privacy-Preserving Directly-Follows Graphs: Balancing Risk and Utility in Process Mining Gamal Elkoumy A. Pankova Marlon Dumas 22 6 0 02 Dec 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 11 58 0 22 Jul 2020
An Overview of Privacy in Machine Learning Emiliano De Cristofaro SILM 17 83 0 18 May 2020
Privately Connecting Mobility to Infectious Diseases via Applied Cryptography A. Bampoulidis A. Bruni Lukas Helminger Daniel Kales Christian Rechberger Roman Walch 14 19 0 05 May 2020
Formalizing Data Deletion in the Context of the Right to be Forgotten Sanjam Garg S. Goldwasser Prashant Nalini Vasudevan AILaw MU 27 82 0 25 Feb 2020