Synthetic and privacy-preserving visualization of video sensor network outputs

Our proposed filter conceals privacy information and keep the comprehensibility of the video in order to detect eventsX.

Abstract: In this work, we propose ProteiNN, a privacy-preserving neural network classification solution in a one-to- many scenario whereby one model provider outsources a

10 http://www.deepdetect.com/.. Nous incluons plus de détails sur cet outil et cette base de données dans la section 2.5.4. Pour chaque image sélectionnée, nous appliquons les

For each sensitive area of the picture (i.e. area where privacy needs to be protected), the proposed algorithm uses the low-frequency coefficients of the DCT to display a

In this paper, we contributed to the literature on privacy-enhancing technolo- gies and users’ privacy by assessing the specific relationships between information privacy

We performed a comparison of 6 data generative methods 2 on the MIMIC-III mortality problem: (1) Gaussian Multivariate [2], (2) Wasserstein GAN (WGAN) [3, 4], (3) Parzen Windows

– Processes associated with the SALT framework, which specify what knowledge should be included in the SALT framework, and how to use the knowledge to support the design of

It is especially hard, at present, to read the newspapers without emitting a howl of anguish and outrage. Philosophy can heal some wounds but, in this case, political action may prove