Abstract There is growing evidence that SARS-CoV-2 can be transmitted beyond close proximity contacts, in particular closed and crowded environments with insufficient ventilation. To help mitigation efforts, contact tracers need a way to notify those who were present such at the same time as infected individuals. Neither traditional human-based tracing powered by handwritten or electronic lists...

We present RHODE, a novel system that enables privacy-preserving training of and prediction on Recurrent Neural Networks (RNNs) in cross-silo federated learning setting by relying multiparty homomorphic encryption. RHODE preserves the confidentiality data, model, data; it mitigates attacks target gradients under passive-adversary threat model. propose packing scheme, multi-dimensional packing, ...

Geocoding is the process of matching addresses to geographic locations, such as latitudes and longitudes, or local census areas. In many applications, addresses are the key to geo-spatial data analysis and mining. Privacy and confidentiality are of paramount importance when data from, for example, cancer registries or crime databases is geocoded. Various approaches to privacy-preserving data ma...

Cryptography is to become familiar with the requirement of large, complex, information rich data sets for it’s privacy preservation. The privacy preserving data mining has been generated; to go through the concept of privacy in data mining is hard. Several algorithms and approaches are being generated theoretically, but practically it is hard. Privacy in data mining can be achieved through seve...

In information sharing networks, having a privacy preserving index (or PPI) is critically important for providing efficient search on access controlled content across distributed providers while preserving privacy. An understudied problem for PPI techniques is how to provide controllable privacy preservation, given the innate difference of privacy of the different content and providers. In this...

Privacy has become an important issue in the progress of data mining techniques. Many laws are being enacted in various countries to protect the privacy of data. This privacy concern has been addressed by developing data mining techniques under a framework called privacy preserving data mining. Presently there are two main approaches popularly used -data perturbation and secure multiparty compu...