There is always one more data bug

There is always one more data bug If we, as data scientists, receive a dataset from a reliable source, we should go ahead with the analysis (classification, clustering, deep learning, etc), right? Well, yes, that’s what most of us (myself included) often do, especially if there is a tight deadline. However, this could be dangerous. Let me describe some rude awakenings I suffered over the past decades, as well as remind you some fast and easy preventive measures. Examples (a.k.a. horror stories) E1 Geographical data Two decades ago, we got access to a public dataset of cross-roads in California, […]

Protecting the Security and Privacy of AIDA and its Data Adapting the RAID platform comes with many security and privacy issues that need to be addressed. These issues appear mainly due to the transition to an edge architecture, which imposes the use of computation resources at the edges of the network, but also due to the need of supporting multiple tenants and network slicing with 5G technology. As mobile phones connect and disconnect, the network is always changing, requiring adaptation and monitorization tools to be used to maximize resources. And since the complexity of the system increases, attackers have more […]