Sentence examples for privacy protective from inspiring English sources
The new investigation standards, Ms. Caproni said, "end up being privacy protective because previously, without a well-developed, robust assessment category, many if not most of those would have been opened as preliminary investigations".
This representative string ought to be discriminative, informative, and privacy protective when it is employed as a cryptographic key in various security applications upon error correction.
Therefore, along with the employment of an unsupervised quantization approach, binary strings that fulfil all three desired criteria: discriminative, informative, and privacy protective can potentially be derived.
It is useful for performance evaluation not only at the traditional minutiae level but also at the pseudonymous identifier level which is more privacy protective compared to conventional minutiae templates [17, 18].
The results indicate that the four privacy orientation dimensions and three user segments predict key differences in terms of privacy protective behavior, information disclosure, and viewing personal information of others.
BRGC- and DBR-encoding schemes are not appropriate for being employed to generate highly discriminative, informative, and privacy protective bit strings due to its inability to uphold the perfect discrete-to-binary mapping behavior for performance preservation when high entropy requirement is imposed.
"If you turn it on, it should be pretty privacy-protective," she says.
Even worse, the virtual lack of competition in the broadband market makes it difficult for many subscribers to jump to another, more privacy-protective company.
Despite this being a surveillance bill in disguise, some privacy-protective amendments like the Franken-Paul amendment would have ensured companies were not given new powers to spy on users.
This makes our four-step approach to be capable of producing discriminative, informative, and privacy-protective binary biometric representation.
In this article, we have proposed a four-step approach to generate highly discriminative, informative, and privacy-protective binary representations based on a fixed-bit-allocation principle.
