El Grupo RME-Disco del Departamento de Informática y Sistemas (DIIS) de la Universidad de Zaragoza organizará un seminario con los profesores de la LSU (Louisiana State University, Baton Rouge, LA), Dr. Ibrahim Baggili y Dr. Andrew Webb en el Seminario Manuel Silva, DIIS el lunes 13 de abril de 2026, 09:30 (cada charla aproximadamente 30’-35’ + 5’-10’ Q&A)
Dr. Ibrahim Baggili (LSU)
Abstract: Machine Learning (ML) and Artificial Intelligence (AI) have become transformative forces, shaping every aspect of our society—from business and academia to the public and private sectors, including IoT devices. Yet, alongside their benefits, the failures of AI are an undeniable reality, demanding urgent attention from forensic researchers and practitioners. When AI goes rogue, who steps in to investigate? While AI and ML are celebrated for enhancing digital forensic processes, a critical shift is needed: focusing on the forensics of AI itself. In this talk, we explore the emerging field of AI forensics—a vital sub-discipline within digital forensics. By examining the foundations of this evolving field and highlighting key research challenges, we will shed light on the critical importance of developing forensic methodologies to address AI-related incidents.
Bio: Dr. Ibrahim (Abe) Baggili is a first generation Arab American. He is the Chair of the Computer Science and Engineering Division and Roger Richardson Professor of Computer Science at Louisiana State University and the founder of the BiT Lab (Baggili Truth Lab) where he holds a joint appointment between the Division of Computer Science & Engineering and the Center for Computation and Technology. Dr. Baggili has won numerous awards including the CT Civil Medal of Merit, the Medal of Thor from the Military Cyber Professional Association, CT 40 under 40, and is a fellow of the European Alliance for Innovation (EAI). He was also elected to the Connecticut Academy of Science and Engineering (CASE) and has also been a TEDx Speaker. He received his BSc, MSc and PhD all from Purdue University where he worked as a researcher in the Center for Education and Research in Information Assurance (CERIAS) and received the Bilsland Dissertation Award during his PhD. Dr. Baggili has been involved in over $14 Million dollars of sponsored research and is a prolific scholar in the domain of digital forensics, cybersecurity, and cybersecurity education. Work with his students has uncovered vulnerabilities that impact over a billion people worldwide and has been featured in news and TV outlets in over 20 languages and he has published extensively in the domain of digital forensics. To learn more about the BiT Lab, you can visit https://csc.lsu.edu/~baggili.
Dr. Andrew Webb (LSU)
Abstract: In this talk, I will present a multidisciplinary Systematization of Knowledge (SoK) that integrates concepts from MR security, information theory, and cognition to derive an analysis framework for deception attacks in Mixed Reality (MR). While MR grows in popularity across industry, government, and academia, it presents many cybersecurity challenges, particularly concerning deception attacks and their effects on humans. Attackers can exploit MR, which blends virtual elements with the real world, to influence how users perceive and make decisions. Leveraging Shannon’s information theory and models of decision-making from cognitive psychology, we derive two models to assess the impact of MR deception attacks on information communication and decision-making. Using these models, we establish the MR Deception Analysis Framework (DAF) to assess the effects of MR deception attacks on information channels, perception, and attention. DAF brings together diverse knowledge to provide a systematic way for categorizing and analyzing MR deception attacks and their effects. I will briefly highlight empirical results from a user study validating specific aspects of DAF.
Bio: Andrew Webb is an Assistant Professor in Computer Science at Louisiana State University. He is a human-computer interaction researcher with diverse interests spanning mixed reality, cybersecurity, creativity support, generative AI, and human-plant interaction. Andrew received his BSc, MSc, and PhD from Texas A&M University where he worked as a researcher in the Interface Ecology Lab. He received a Texas A&M Dissertation Fellowship during his PhD. He worked as a postdoctoral researcher at Inria (in Paris-Saclay) and then CWI (in Amsterdam), where he was a European Research Consortium for Informatics and Mathematics (ERCIM) postdoctoral fellow.
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