Franco Piergallini Guida How to Trick Apps That Use Deep Learning for Melanoma Detection One of the great achievements of deep learning is image classification using convolutional neural networks. In the article “The Internet of Health” we find a clear example where this...
Franco Piergallini Guida The First Official Vulnerabilities in Machine Learning in General Today you are nobody on the market if you do not use a Machine Learning system. Whether it is a system of nested “ifs” or a model of real...
Franco Piergallini Guida Thinking About Attacks on WAFs Based on Machine Learning One of the fundamental pieces for the correct implementation of machine and deep learning is data. This type of algorithm needs to consume, in some cases, a large amount...
Franco Piergallini Guida Adversarial Attacks: The Enemy of Artificial Intelligence (II) In Machine and Deep Learning, as in any system, there are vulnerabilities and techniques that allow manipulating its behaviour at the mercy of an attacker. As we discussed in...
Franco Piergallini Guida Adversarial Attacks: The Enemy of Artificial Intelligence What happens when the data used by artificial intelligence to predict behaviour is manipulated? Is this an attack vector?
José Luis Núñez Díaz Towards a smarter supply chain One of the recurring use cases that is always mentioned when talking about Blockchain is its application in supply chains. In fact, back in 2018, at Telefónica we were...
Florence Broderick New "Insecurity in the Internet of Things" report New Insecurity in the IoT reportYou can now download the full report about Insecurity in the Internet of Things carried out by ElevenPaths’ Analyst Team. It`s available at ElevenPaths web. SummaryIn...
Florence Broderick Top of the app charts. Shuabang: automated malware made in China Have you ever wondered how some apps rocket up the charts so quickly? Sometimes you’ll spot one that seems like a curveball, like a pub rock covers band hitting...
