Bastien Vialla

Orange Labs · Orange Labs Research

With the advent of big data technologies which bring better scalability and performance results, machine learning (ML) algorithms become affordable in several different applications and areas. The use of large volumes of data to obtain accurate predictions unfortunately come with a high cost in terms of privacy exposures. The underlying data are of...

There has been great progress regarding efficient implementations of fully homomorphic encryption schemes since the first construction by Gentry. However, evaluating complex circuits is still undermined by the necessary resort to the bootstrapping procedure. Minimizing the number of times such procedure is called is a simple yet very efficient way...

There has been great progress regarding efficient implementations of fully homomorphic encryption schemes since the first construction by Gentry. However, evaluating complex circuits is still undermined by the necessary resort to the bootstrapping procedure. Minimizing the number of times such procedure is called is a simple yet very efficient way...

This work deals with parallelism in linear algebra routines. We propose a domain specific language based on C/C++ macros, PALADIn (Parallel Algebraic Linear Algebra Dedicated Interface). This domain specific language allows the user to write C++ code and benefit from sequential and parallel executions on shared memory architectures. With a unique s...

Sparse matrix vector multiplication (SpMV) is one of the most important operation for exact sparse linear algebra. A lot of research has been done by the numerical community to provide efficient sparse matrix formats. However, when computing over finite fields, one need to deal with multi-precision values and more complex operations. In order to pr...

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