BLISS AI SPEAKER SERIES #21: Progress in AI Safety and Security

Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.

Abstract: TBD

Bio: Adel Bibi is a senior researcher in machine learning and computer vision at the Department of Engineering Science since 2023, University of Oxford, a Research Member of the Common Room at Kellogg College, and a member of the ELLIS Society. Bibi is an R&D Distinguished Advisor with Softserve. Previously, he was a senior research associate and postdoctoral researcher with Philip H.S. Torr. He received his MSc and PhD degrees from King Abdullah University of Science & Technology (KAUST) in 2016 and 2020, respectively, advised by Bernard Ghanem. Bibi was awarded an Amazon Research Award in 2022 in the Machine Learning Algorithms and Theory track, in addition to receiving the Google Gemma 2 Academic Award in 2024. He was also awarded the Systematic AI Safety Award by the UK AI Safety Institute and EPSRC in 2025. Bibi received four best paper awards: a NeurIPS23 workshop, an ICML23 workshop, a 2022 CVPR workshop, and one at the Optimization and Big Data Conference in 2018. His contributions include over 30 papers published in top machine learning and computer vision conferences. He has also received four outstanding reviewer awards (CVPR18, CVPR19, ICCV19, ICLR22) and a Notable Area Chair Award at NeurIPS23. Currently, Bibi is leading a group in Oxford focusing on the intersection between AI safety of large foundational models in both vision and language (covering topics such as robustness, certification, alignment, adversarial elicitation, etc.) and the efficient continual update of these models.