====== Privacy in Healthcare ====== \\ | [[https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=405008981 | 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 [[https://www.uni-bielefeld.de/einrichtungen/bits/services/infra/vpn/|VPN]]. If there is any problem with accesssing a paper, write an email to [[mailto:jverolet@aol.com,dgoebel@techfak.uni-bielefeld.de|Johan Vérolet and Daniel Göbel]]. \\ | **Title** | **Authors** | **Year** | **Journal** | |[[https://dl.acm.org/doi/abs/10.1145/3110254|A Framework for Adaptive Differential Privacy]]|Daniel Winograd-Cort et al.|2017|Proceedings of the ACM on Programming Languages| |*[[https://onlinelibrary.wiley.com/doi/abs/10.1111/exsy.12767|A fully homomorphic encryption based on magic number fragmentation and El-Gamal encryption: Smart healthcare use case]]|Mostefa Kara et al.| 2021| Expert Systems| |*[[https://ieeexplore.ieee.org/abstract/document/8031181|An Adaptive Differential Privacy Algorithm for Range Queries over Healthcare Data]]| Asma Alnemari et al.| 2017| 2017 IEEE International Conference on Healthcare Informatics (ICHI)| |*[[https://ieeexplore.ieee.org/abstract/document/7831325|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)| |[[https://arxiv.org/abs/0811.2501|A Statistical Framework for Differential Privacy]]| Larry Wasserman & Shuheng Zhou| 2010| Journal of the American Statistical Association| |[[https://dl.acm.org/doi/abs/10.1145/3214303|A Survey on Homomorphic Encryption Schemes: Theory and Implementation]]| Abbas Acar et al.| 2018| ACM Computing Surveys| |*[[https://ieeexplore.ieee.org/abstract/document/7063384|Cloud-based Secure Health Monitoring: Optimizing Fully-Homomorphic Encryption for Streaming Algorithms]]| Alex Page et al.| 2014| 2014 IEEE Globecom Workshops (GC Wkshps)| |[[https://arxiv.org/abs/1607.00133|Deep Learning with Differential Privacy]]| Martín Abadi et al| 2016| Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security| |*[[https://ieeexplore.ieee.org/abstract/document/5360513|Differential Privacy for Clinical Trial Data: Preliminary Evaluations]]| Duy Vu & Aleksandra Slavković| 2009| 2009 IEEE International Conference on Data Mining Workshops| |[[https://ojs.aaai.org/index.php/AAAI/article/view/10165|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| |[[https://academic.oup.com/bioinformatics/article/38/21/4919/6694043|dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning]]| Han Cao et al.| 2022| Bioinformatics| |[[https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1741-0|Emerging technologies towards enhancing privacy in genomic data sharing]]| Bonnie Berger and Hyunghoon Cho| 2019| Genome Biology| |[[https://www.nature.com/articles/s41598-022-05539-7|Federated learning and differential privacy for medical image analysis]]| Mohammed Adnan et al.| 2022| Scientific Reports| |*[[https://www.nature.com/articles/s42256-022-00601-5|Federated machine learning in data-protection-compliant research]]| Alissa Brauneck et al.| 2023| Nature Machine Intelligence| |[[https://genomebiology.biomedcentral.com/articles/10.1186/s13059-021-02553-2|Flimma: a federated and privacy-aware tool for differential gene expression analysis]]| Olga Zolotareva et al.| 2021| Genome Biology| |[[https://academic.oup.com/jrsssb/article/84/1/3/7056089|Gaussian differential privacy]]| Jinshuo Dong et al.| 2022| Journal of the Royal Statistical Society Series B: Statistical Methodology| |[[https://arxiv.org/abs/2007.05139|Mechanisms for Hiding Sensitive Genotypes With Information-Theoretic Privacy]]| Fangwei Ye et al.| 2022| IEEE Transactions on Information Theory| |[[https://www.thieme-connect.com/products/ejournals/html/10.1055/s-0041-1740630|Privacy-Preserving Artificial Intelligence Techniques in Biomedicine]]| Reihaneh Torkzadehmahani et al.| 2022| Methods of Information in Medicine| |[[https://www.sciencedirect.com/science/article/pii/S2405471221002891|Privacy-preserving genotype imputation in a trusted execution environment]]| Natnatee Dokmai et al.| 2021| Cell Systems| |[[https://www.nature.com/articles/s41467-022-32168-5|Secure human action recognition by encrypted neural network inference]]| Miran Kim et al.| 2022| Nature Communications| |[[https://genomebiology.biomedcentral.com/articles/10.1186/s13059-022-02841-5|Sequre: a high‑performance framework for secure multiparty computation enables biomedical data sharing]]| Haris Smajlović et al.| 2023| Genome Biology| |[[https://www.nature.com/articles/s41467-021-25972-y|Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption]]| David Froelicher et al.| 2021| Nature Communications| ==== Time table lecture==== [[https://uni-bielefeld.cloud.panopto.eu/Panopto/Pages/Sessions/List.aspx?folderID=2844208f-8eb9-4c0c-9471-afe1010bafbe|Lecture Recordings]] | **Date** | **Topic** | |11.04.2023 | [[teaching:2023summer:privacy:seminar01|Introduction]] ({{teaching:2023summer:privacy:introduction-110423.pdf|slides}}) | |18.04.2023 | // no seminar // | |25.04.2023 | [[teaching:2023summer:privacy:seminar02|How to present/How to write Reports]] ({{teaching:2023summer:privacy:howtopresent.pdf|hot-to-present}}/{{teaching:2023summer:privacy:howtowritereports.pdf|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 | |