Archives for Data anonymization
Last month, Google unveiled a first-of-its-kind, general-purpose transpiler for fully homomorphic encryption (FHE). The new update allows developers to compute encrypted data without having to access any personally identifiable information. The open-source libraries and tools to perform FHE operations on an encrypted dataset are available on GitHub. Besides this, there have been plenty of open…
The post Google Launches General Purpose Transpiler For Fully Homomorphic Encryption appeared first on Analytics India Magazine.
Data anonymization is the process of stripping all personally identifiable information from the dataset while retaining only the relevant part without compromising the users’ privacy. One of its most important applications is in healthcare. Hospitals often remove patients’ names, addresses, and other vital information from the health records before incorporating them into large datasets. Loopholes…
The post Data Anonymization Is Not A Fool Proof Method: Here’s Why appeared first on Analytics India Magazine.
Data anonymization is the process of stripping all personally identifiable information from the dataset while retaining only the relevant part without compromising the users’ privacy. One of its most important applications is in healthcare. Hospitals often remove patients’ names, addresses, and other vital information from the health records before incorporating them into large datasets. Loopholes…
The post Data Anonymization Is Not A Fool Proof Method: Here’s Why appeared first on Analytics India Magazine.
Data anonymization is the process of stripping all personally identifiable information from the dataset while retaining only the relevant part without compromising the users’ privacy. One of its most important applications is in healthcare. Hospitals often remove patients’ names, addresses, and other vital information from the health records before incorporating them into large datasets. Loopholes…
The post Data Anonymization Is Not A Fool Proof Method: Here’s Why appeared first on Analytics India Magazine.