Summation-based Private Segmented Membership Test from Threshold-Fully Homomorphic Encryption [0.03%]
                                                基于阈值完全同态加密的求和型私有分段成员资格测试
                                               
                                            
                                            
                                                Nirajan Koirala,Jonathan Takeshita,Jeremy Stevens et al.
                                                Nirajan Koirala et al.
                                            
                                            In many real-world scenarios, there are cases where a client wishes to check if a data element they hold is included in a set segmented across a large number of data holders. To protect user privacy, the client's query and the data holders'...
                                            
                                        
                                                Privacy-Preserving Fingerprinting Against Collusion and Correlation Threats in Genomic Data [0.03%]
                                                面向基因组数据的抗合谋和相关威胁的隐私保护指纹机制研究
                                               
                                            
                                            
                                                Tianxi Ji,Erman Ayday,Emre Yilmaz et al.
                                                Tianxi Ji et al.
                                            
                                            Sharing genomic databases is critical to the collaborative research in computational biology. A shared database is more informative than specific genome-wide association studies (GWAS) statistics as it enables "do-it-yourself" calculations....
                                            
                                        
                                                Privacy by Projection: Federated Population Density Estimation by Projecting on Random Features [0.03%]
                                                基于投影的隐私保护:通过随机特征投影实现联合人口密度估计
                                               
                                            
                                            
                                                Zixiao Zong,Mengwei Yang,Justin Ley et al.
                                                Zixiao Zong et al.
                                            
                                            We consider the problem of population density estimation based on location data crowdsourced from mobile devices, using kernel density estimation (KDE). In a conventional, centralized setting, KDE requires mobile users to upload their locat...
                                            
                                        
                                                Yuzhou Jiang,Emre Yilmaz,Erman Ayday
                                                Yuzhou Jiang
                                            
                                            Location-based services have brought significant convenience to people in their daily lives, and the collected location data are also in high demand. However, directly releasing those data raises privacy and liability (e.g., due to unauthor...
                                            
                                        
                                                Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies [0.03%]
                                                高效且隐私安全的全基因组关联研究结果验证方法
                                               
                                            
                                            
                                                Anisa Halimi,Leonard Dervishi,Erman Ayday et al.
                                                Anisa Halimi et al.
                                            
                                            Providing provenance in scientific workflows is essential for reproducibility and auditability purposes. In this work, we propose a framework that verifies the correctness of the aggregate statistics obtained as a result of a genome-wide as...
                                            
                                        
                                                Kerem Ayoz,Erman Ayday,A Ercument Cicek
                                                Kerem Ayoz
                                            
                                            Sharing genome data in a privacy-preserving way stands as a major bottleneck in front of the scientific progress promised by the big data era in genomics. A community-driven protocol named genomic data-sharing beacon protocol has been widel...
                                            
                                        