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20182022
most citedDarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments

190 citations · 295 across the 16 of their papers we have counts for

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13 papers · 1 filter

cs.CV20221 cited

A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containers

Xavier Weber, Alessio Xompero, Andrea Cavallaro

Estimating the 6D pose and size of household containers is challenging due to large intra-class variations in the object properties, such as shape, size, appearance, and transparen…

cs.CV2022

Content-based Graph Privacy Advisor

Dimitrios Stoidis, Andrea Cavallaro

People may be unaware of the privacy risks of uploading an image online. In this paper, we present Graph Privacy Advisor, an image privacy classifier that uses scene information an…

cs.CV20225 cited

BON: An extended public domain dataset for human activity recognition

Girmaw Abebe Tadesse, Oliver Bent, Komminist Weldemariam +3

Body-worn first-person vision (FPV) camera enables to extract a rich source of information on the environment from the subject's viewpoint. However, the research progress in wearab…

cs.CV2021

Improving filling level classification with adversarial training

Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla +2

We investigate the problem of classifying - from a single image - the level of content in a cup or a drinking glass. This problem is made challenging by several ambiguities caused…

cs.CV202011 cited

Underwater image filtering: methods, datasets and evaluation

Chau Yi Li, Riccardo Mazzon, Andrea Cavallaro

Underwater images are degraded by the selective attenuation of light that distorts colours and reduces contrast. The degradation extent depends on the water type, the distance betw…

cs.CV202025 cited

Exploiting vulnerabilities of deep neural networks for privacy protection

Ricardo Sanchez-Matilla, Chau Yi Li, Ali Shahin Shamsabadi +2

Adversarial perturbations can be added to images to protect their content from unwanted inferences. These perturbations may, however, be ineffective against classifiers that were n…