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Rapid advances in Internet technologies have fostered the emergence of the “software as a service” model for enterprise computing. The “Database as a Service” model provides users with the power to cr...
Building expressive encrypted databases that can scale to large volumes of data while enjoying formal security guarantees has been one of the holy grails of security and cryptography research. Searcha...
Recent foundational work on leakage-based attacks on encrypted databases has broadened our understanding of what an adversary can accomplish with a standard leakage profile. Nevertheless, all known va...
We introduce and study the notion of keyless fuzzy search (KlFS) which allows to mask a publicly available database in such a way that any third party can retrieve content if and only if it possesses ...
In recent years, a number of attacks have been developed that can reconstruct encrypted one-dimensional databases that support range queries under the persistent passive adversary model. These attacks...
To achieve security and privacy for data stored on the cloud, we need the ability to secure data in compute. Equality comparisons, ``x=y,x≠yx=y,x≠y'', have been widely studied with many proposals but ...
The problem of privatizing statistical databases is a well-studied topic that has culminated with the notion of differential privacy. The complementary problem of securing these databases, however, ha...
Searchable symmetric encryption (SSE) schemes are commonly proposed to enable search in a protected unstructured documents such as email archives or any set of sensitive text files. However, some SSE ...
Recent works by Kellaris et al. (CCS’16) and Lacharite et al. (SP’18) demonstrated attacks of data recovery for encrypted databases that support rich queries such as range queries. In this paper, we d...
We discuss the widely increasing range of applications of a cryptographic technique called Multi-Party Computation. For many decades this was perceived to be of purely theoretical interest, but now it...
Privacy-preserving data analysis in the context of federated databases distributed across multiple parties has the potential to produce richer and more accurate models than what each party can learn w...
Cloud database systems such as Amazon RDS or Google Cloud SQL enable the outsourcing of a large database to a server who then responds to SQL queries. A natural problem here is to efficiently verify t...
To protect database confidentiality even in the face of full compromise while supporting standard functionality, recent academic proposals and commercial products rely on a mix of encryption schemes. ...
Database management systems operating over encrypted data are gaining significant commercial interest. CryptDB is one such notable system supporting a variety SQL queries over encrypted data (Popa et ...
When data maintained in a decentralized fashion needs to be synchronized or exchanged between different databases, related data sets usually get associated with a unique identifier. While this approac...

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