Titlebook: ;

壁畫

Privacy for Data: Masking Methods,rators. This review includes rank swapping, microaggregation, additive and multiplicative noise, PRAM, and generalization. We also describe the use of GANs to generate synthetic data. The chapter also includes a discussion on methods for achieving .-anonymity and methods appropriate for big data.

Agronomy

Other Data-Driven Mechanisms,ing. We describe how we can modify a database so that some rules cannot be extracted once the protected database is published. We introduce tabular data protection. We understand tabular data as aggregates of data in table form. We describe rules to detect when a cell in the table is sensitive and two approaches for tabular data protection.

configuration

Conclusions,sclosure. We have tried to show the difficulties of correctly assessing disclosure risk and provided two examples, already in the first chapter, that are paradigmatic of the problems we encounter on building privacy-aware systems. In this chapter we provide some guidelines for implementing privacy.

VEN

Cryptic

Machine and Statistical Learning, and Cryptography,es to compare indices are also described. A summary of most important cryptographic concepts is also included. For example, private-key and public-key cryptography as well as homomorphic encryption is described.

ARCH

Obliterate

Harrowing

嚴厲批評

fledged

Victor Ehrenbergected rate for mmWave access networks in consideration of the characteristics of mmWave communication, and prove that it is submodular and monotone. The sleep and activation control of mmWave BSs is formulated as a combinatorial optimization problem to maximize a monotone submodular function under t