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cs.CR2021
Secure k-Anonymization over Encrypted Databases
Manish Kesarwani, Akshar Kaul, Stefano Braghin +2
Data protection algorithms are becoming increasingly important to support modern business needs for facilitating data sharing and data monetization. Anonymization is an important s…
cs.CR2019
AnonTokens: tracing re-identification attacks through decoy records
Spiros Antonatos, Stefano Braghin, Naoise Holohan +1
Privacy is of the utmost concern when it comes to releasing data to third parties. Data owners rely on anonymization approaches to safeguard the released datasets against re-identi…
cs.CR2018
The Bounded Laplace Mechanism in Differential Privacy
Naoise Holohan, Spiros Antonatos, Stefano Braghin +1
The Laplace mechanism is the workhorse of differential privacy, applied to many instances where numerical data is processed. However, the Laplace mechanism can return semantically…