Abstract

Title: The social and psychological impact of cyber-attacks

Abstract: During my presentation, I will talk about the impact of cyber-attacks on members of the public from a social and psychological perspective. The social impact of cyber-attacks refers to aspects such as the social disruption caused to people’s daily lives. Psychological impact can be informed by social impact, and includes aspects such as widespread anxiety, loss of confidence in cyber, and outrage. Lastly, this presentation will reflect on some of the key issues relevant to understanding public reactions to malicious cyber-events. This will touch on areas including: (i) risk perception and protection motivation (ii) attacker identity (iii) target identity and attack scale.

Title:Drug-Drug Adverse Effect Prediction with Graph Co-Attention and could shortly be described as

Abstract: Nowadays taking multiple drugs to treat complex or co-existing diseases is becoming increasingly frequent. However, this can lead to side effects, which are difficult to detect in clinical trials. By leveraging recent advances in graph neural networks, we propose an architecture which sets state-of-the-art results for predicting whether two drugs are likely to cause adverse reactions and what their types would be.