Abstract: The term ‘infox’ — a portmanteau word of information and intoxication — refers to false information (i.e. fake news) that is disseminated with the intention of deceiving and weaponising. AI is responsible for their generation and targeted distribution. This contributes to the fragmentation of societies into informational bubbles. However, AI could also help to detect these ‘infox’, which allows to decrease their toxicity. This is crucial in enabling individuals to continue to exert their citizenship in modern democracies. This talk will focus on some of the current attempts to use of AI for this purpose.

Abstract: In several jurisdictions, the legal framework for the publication and disclosure of personal data is being extended to machine learning (ML). This is based on the implicit assumption that disclosing a trained ML model poses a similar privacy risk to the personal data used to train it as directly publishing those data. However, with a trained model, it is necessary to carry out a privacy attack to draw inferences from the training data. In this talk, I examine the main families of privacy attacks against predictive and generative ML, including membership inference attacks (MIAs), property inference attacks, and reconstruction attacks. Our analysis shows that most of these attacks appear to be less effective in the real world than might be suggested by a prima facie interpretation of the relevant literature.

Abstract: As we move toward 6G, networks are evolving from passive data pipelines to intelligent, adaptive systems. This keynote introduces the concept of cognitive infrastructure networks that sense, reason, and act autonomously.
We explore AI-native architectures capable of self-optimization, failure prediction, and context-aware adaptation. Technologies like TelecomGPT and digital twins demonstrate early realizations of this paradigm. We present practical use cases and discuss implications for standards and ethics. This shift redefines connectivity itself, moving from speed to situational intelligence at the edge of infrastructure.