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Privacy in Healthcare


392160 Schönhuth Summer 2023 Tue 16-18 in V2-135 (S)

Contents

Modern healthcare practice is confronted with overwhelming amounts of data, in form of electronic health records, individual genetic profile information, and various forms of images. Storing and arranging the data masses is already difficult. Beyond just storage, however, anonymization is a driving concern. Privacy and safety are values of utmost importance.

In this seminar, we will review and discuss various articles that deal with algorithms, statistics, data structures and artificial intelligence approaches that support safety and privacy of individual clinically relevant data.

Papers

To access the papers marked with a *, you have to be in the university network or connect to it via the VPN.

If there is any problem with accesssing a paper, write an email to Johan Vérolet and Daniel Göbel.

Title Authors Year Journal
A Framework for Adaptive Differential PrivacyDaniel Winograd-Cort et al.2017Proceedings of the ACM on Programming Languages
*A fully homomorphic encryption based on magic number fragmentation and El-Gamal encryption: Smart healthcare use caseMostefa Kara et al. 2021 Expert Systems
*An Adaptive Differential Privacy Algorithm for Range Queries over Healthcare Data Asma Alnemari et al. 2017 2017 IEEE International Conference on Healthcare Informatics (ICHI)
*Applying Secure Multi-Party Computation to Improve Collaboration in Healthcare Cloud Mbarek Marwan et al. 2016 2016 Third International Conference on Systems of Collaboration (SysCo)
A Statistical Framework for Differential Privacy Larry Wasserman & Shuheng Zhou 2010 Journal of the American Statistical Association
A Survey on Homomorphic Encryption Schemes: Theory and Implementation Abbas Acar et al. 2018 ACM Computing Surveys
*Cloud-based Secure Health Monitoring: Optimizing Fully-Homomorphic Encryption for Streaming Algorithms Alex Page et al. 2014 2014 IEEE Globecom Workshops (GC Wkshps)
Deep Learning with Differential Privacy Martín Abadi et al 2016 Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
*Differential Privacy for Clinical Trial Data: Preliminary Evaluations Duy Vu & Aleksandra Slavković 2009 2009 IEEE International Conference on Data Mining Workshops
Differential Privacy Preservation for Deep Auto-Encoders: An Application of Human Behavior Prediction NhatHai Phan et al. 2016 Proceedings of the AAAI Conference on Artificial Intelligence
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning Han Cao et al. 2022 Bioinformatics
Emerging technologies towards enhancing privacy in genomic data sharing Bonnie Berger and Hyunghoon Cho 2019 Genome Biology
Federated learning and differential privacy for medical image analysis Mohammed Adnan et al. 2022 Scientific Reports
*Federated machine learning in data-protection-compliant research Alissa Brauneck et al. 2023 Nature Machine Intelligence
Flimma: a federated and privacy-aware tool for differential gene expression analysis Olga Zolotareva et al. 2021 Genome Biology
Gaussian differential privacy Jinshuo Dong et al. 2022 Journal of the Royal Statistical Society Series B: Statistical Methodology
Mechanisms for Hiding Sensitive Genotypes With Information-Theoretic Privacy Fangwei Ye et al. 2022 IEEE Transactions on Information Theory
Privacy-Preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani et al. 2022 Methods of Information in Medicine
Privacy-preserving genotype imputation in a trusted execution environment Natnatee Dokmai et al. 2021 Cell Systems
Secure human action recognition by encrypted neural network inference Miran Kim et al. 2022 Nature Communications
Sequre: a high‑performance framework for secure multiparty computation enables biomedical data sharing Haris Smajlović et al. 2023 Genome Biology
Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption David Froelicher et al. 2021 Nature Communications

Time table lecture

Lecture Recordings

Date Topic
11.04.2023 Introduction (slides)
18.04.2023 no seminar
25.04.2023 How to present/How to write Reports (hot-to-present/how-to-write-reports)
02.05.2023 no seminar
09.05.2023
16.05.2023
23.05.2023
30.05.2023
06.06.2023
13.06.2023
20.06.2023
27.06.2023
04.07.2023