29 citations · 67 across the 4 of their papers we have counts for
4 papers
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?
Héber H. Arcolezi, Jean-François Couchot, Denis Renaud +2
This paper investigates the problem of forecasting multivariate aggregated human mobility while preserving the privacy of the individuals concerned. Differential privacy, a state-o…
Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates
Héber H. Arcolezi, Jean-François Couchot, Bechara Al Bouna +1
This paper investigates the problem of collecting multidimensional data throughout time (i.e., longitudinal studies) for the fundamental task of frequency estimation under Local Di…
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy
Héber H. Arcolezi, Jean-François Couchot, Bechara Al Bouna +1
With local differential privacy (LDP), users can privatize their data and thus guarantee privacy properties before transmitting it to the server (a.k.a. the aggregator). One primar…
The dynamics of the CBC Mode of Operation
Abdessalem Abidi, Christophe Guyeux, Bechara Al Bouna +2
In cryptography, the Cipher Block Chaining (CBC), one of the most commonly used mode in recent years, is a mode of operation that uses a block cipher to provide confidentiality or…