Keynotes
Keynote:
Prof. Mykola Pechenizkiy
Professor, Chair of Data Mining at the Department of Mathematics and Computer Science
Eindhoven University of Technology
Bio: Mykola Pechenizkiy is a professor and chair of Data Mining at the Department of Mathematics and Computer Science, TU Eindhoven. His main expertise is in machine learning and predictive analytics on data evolving over time. Mykola leads Trustworthy AI interdisciplinary research studying foundations of robustness, scalability, interpretability, fairness, and explainability of AI. Their work on machine learning has won several awards, including the recent IEEE ICDE 2023 Best Demo Award, IDA 2023 Runner-up Frontier Prize, IEEE DSAA 2022 Best Paper Award, LoG 2022 Best Paper Award, ALA 2022 Best Paper Award, and Prof. Ram Kumar EDM 2009-2018 Test of Time Award. Mykola closely collaborates with industry on developing novel techniques for informed, accountable, and transparent predictive analytics. He serves on the program committees of the leading data mining, machine learning, and AI conferences, including IJCAI, ECMLPKDD, AAAI, and ICML among others.
Keynote:
Prof. Bo Luo
Professor, Department of Electrical Engineering and Computer Science
Director, High Assurance and Secure Systems (HASS) Research Center
Institute for Information Sciences (I2S)
The University of Kansas
Abstract: Recent advances in machine learning, especially generative AI, have made significant impacts on a wide range of research disciplines including security and privacy. Meanwhile, a broad spectrum of cyber-attacks against machine learning systems has been proposed. Such attacks aim to break the integrity or confidentiality of the models. In this talk, I will discuss the synergy between cybersecurity and Ai/ML, and introduce several research projects from KU’s InfoSec group on adversarial/trustworthy machine learning. Through this talk, we hope to highlight the security and privacy issues in AI/ML systems, which may be helpful for the audience to identify the opportunities and challenges in their own research fields.
Bio: Bo Luo is a professor with the EECS department at the University of Kansas. He is the director of the Center for High Assurance and Secure Systems (HASS) at KU's Institute of Information Sciences (I2S). He received Ph.D. degree from The Pennsylvania State University in 2008, M.Phil degree from the Chinese University of Hong Kong in 2003, and B.E. from University of Sciences and Technology of China in 2001. His recent works mostly lie in the intersection of AI/ML and privacy and security. Dr. Luo has published 100+ refereed papers, including ones in top conferences and journals such as IEEE S&P, ACM CCS, USENIX Security, NDSS, ACM Multimedia, IEEE TKDE, IEEE TIFS, IEEE TDSC, etc. He received the KU EECS Excellence in Undergraduate Teaching Professorship in 2023, the Miller Scholar award of University of Kansas in 2016, 2017, and 2021, and the Miller Professional Development Award in 2015. He is also the recipient of ACSAC 2017, ACSAC 2021, and ACM/IEEE ICPC 2024 best paper awards, and CCS 2022 best paper honorable mention.
Keynote:
Andrew Boxall
Microsoft