In this talk, I will provide an overview of two problems I have been contributing to in the past years: i) Multiparty Privacy; ii) AI Security & Privacy. Regarding i), privacy is not just about what an individual user discloses about herself, it also involves what others (e.g. her friends) may disclose about her. Multiparty privacy is concerned with information pertaining to several individuals and the conflicts that arise when the privacy preferences of these individuals differ. In particular, I will go through the research we have been doing on multiparty privacy in a social media context and the future challenges in general in this field. Regarding ii) I will be talking about the work we have been doing at the intersection of HCI and AI on security and privacy in AI-based systems, including privacy threats in AI-based systems, users’ perceptions of security and privacy in AI-based systems, socio-technical approaches to tackle AI-based discrimination against particular type of users (e.g. based on gender/ethnicity), and symbolic AI approaches that can help towards addressing security, privacy and transparency issues in AI-based systems.

Bio:

Dr Jose M Such is Reader in Security and Privacy at King’s College London and Director of the KCL Cybersecurity Centre, an EPSRC-NCSC Academic Centre of Excellence in Cyber Security Research (ACE-CSR). Dr Such was Senior Lecturer at King’s College London from 2016 to 2018, and before that, he was Lecturer at Lancaster University from 2012 to 2016. His research interests are at the intersection between Cyber Security, Artificial Intelligence, and Human-Computer Interaction, having published in the top venues in these fields (IJCAI, CHI, etc.). He has been principal investigator for a number of projects funded by research councils (EPSRC, InnovateUK), industry (Google) and government (HMG, NCSC).

KCL Cybersecurity Centre - http://kcl.ac.uk/cybersecurity-centre