151 citations
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9 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…
Safe Disassociation of Set-Valued Datasets
Nancy Awad, Bechara Al Bouna, Jean-Francois Couchot +1
Disassociation introduced by Terrovitis et al. is a bucketization based anonimyzation technique that divides a set-valued dataset into several clusters to hide the link between ind…
Efficient and accurate monitoring of the depth information in a Wireless Multimedia Sensor Network based surveillance
Anthony Tannoury, Rony Darazi, Christophe Guyeux +1
Wireless Multimedia Sensor Network (WMSN) is a promising technology capturing rich multimedia data like audio and video, which can be useful to monitor an environment under surveil…
On the Evaluation of the Privacy Breach in Disassociated Set-Valued Datasets
Sara Barakat, Bechara Al Bouna, Mohamed Nassar +1
Data anonymization is gaining much attention these days as it provides the fundamental requirements to safely outsource datasets containing identifying information. While some tech…