The paper “Dos and Dont’s of Machine Learning in Computer Security”, co-authored by Dr. Fabio Pierazzi, member of the Cybersecurity Group (CYS) at the Department of Informatics at King’s College London, received a prestigious Distinguished Paper Award at the USENIX Security Symposium 2022, one of the flagship cybersecurity conferences
At the Dagstuhl Seminar on Security of Machine Learning in July 2022, experts from all over the world met to discuss research trends and future directions for research in protecting ML-based systems. The seminar featured a mix of academics, young researchers, and industry practitioners. Despite the relaxed atmosphere, the seminar inspired diverse questions—among which, a recurring theme entailed the practical relevance of related research. For example, should industry truly be worried about the attacks portrayed in research papers, and are the assumptions made in research truly representative of the real world?
This September PhD students from the Department of Informatics were invited to attend the 9th ACM womENcourage conference held in Larnaca, Cyprus. The conference aims to connect women from diverse STEM backgrounds and encourage them to pursue a career in computing. Anna, Elisavet, and Yazhuo from the Software systems, Distributed AI, and Human Centred Computing groups represented the department of Informatics in person for the first time after two years of the pandemic.
The Human Centred Computing Group (HCC) had a strong presence at the ACM CHI conference. CHI is the leading venue to publish Human-Computer Interaction (HCI) research, typically attended by about 3000 of the top human-computer interaction researchers and practitioners worldwide.
Responsible or trustworthy machine learning (ML) are active fields of research, with metrics and mitigation strategies being defined for different aspects of trustworthiness such as robustness, fairness or interpretability. However, these topics are …
Join us in the King’s Women in Informatics Conference to learn about the exciting research conducted by King’s PhD students and staff who identify themselves as women or non-binary, have a chat about a career in research, and network over refreshments.