With the broader adoption of digital technologies and AI, organisations face the emerging risks of AI, the unfamiliar, and the intensified risk of cybersecurity, the familiar. AI and cybersecurity are intertwined, but risk silos are often created when they are dealt with at the technology and governance levels. This talk will explore the interactions between responsible AI and cybersecurity risks via industry case studies. It will show how we can break down the risk silos and use emerging trust-enhancing technologies, architecture and end-to-end software engineering/DevOps practices to connect the two worlds and uplift the risk management posture for both.
Dr Liming Zhu is a Research Director at CSIRO’s Data61 and a conjoint full professor at University of New South Wales (UNSW). He is the chairperson of Standards Australia’s blockchain and distributed ledger committee and on AI trustworthiness related committees. His research program innovates in the areas of AI/ML platforms, responsible/ethical AI, software engineering, computational science, blockchain, regulation technology, quantum software, privacy and cybersecurity. He has published more than 200 academic papers on software architecture, secure systems and data/ML infrastructure, blockchain, governance and responsible AI.
While the industry benefited from the adoption of AI/ML in cybersecurity, fresh new batch of academics are still left with decade old dataset which is essentially a shadow of the past. In order to avoid leading brilliant minds to the dead end and irrelevance, what can be done? In this talk, we invite audience to brainstorm on possible source of challenges, as well as the fresh new field which remain largely unaddressed by the community.
Prof. Youki Kadobayashi has been leading the Laboratory for Cyber Resilience, Nara Institute of Science and Technology, Japan, where he works closely with research communities worldwide to further progress the state of cybersecurity.
He also initiated cybersecurity education programs in academia as well as industry sectors in Japan, which resulted in a strong alumni network of more than 1,000 cybersecurity specialists.
With the advances in Machine Learning techniques, extracting actionable intelligence from large data sets have changed many technologies. Concepts such as Industry 4.0, Threat Intelligence, Autonomous Vehicles are now commonplace with Machine Learning being a prime driver. In this talk, we discuss how Cyber Security — a necessary technology in today’s digitalized world has also been impacted by Machine Learning. In particular, we discuss two specific areas — malware analysis, and intrusion detection where we have been using machine learning to provide effective security to systems and networks. We also discuss briefly, how machine learning processes – i.e training, and classification/regression etc., are also being attacked by cyber attackers, and how machine learning techniques are evolving through these threats through adversarial machine learning.
Prof. Sandeep K. Shukla is an IEEE fellow, and ACM Distinguished Scientist. He is currently a professor of Computer Science and Engineering department at IIT Kanpur which he headed during 2017-2020. He was the editor in chief of the ACM Transactions on Embedded Computing Systems during 2013-2020. He is currently associate editors of ACM Transactions on Cyber Physical Systems, and Journal of the British Blockchain Association. In the past he has served as associate editors of IEEE Transactions on Computers, IEEE Transactions on Industrial Informatics, IEEE Design and Test, and IEEE Embedded Systems Letters. Before joining IIT Kanpur in 2015, he was a professor at Virginia Tech, USA. He served as ACM Distinguished Speaker, and IEEE Computer Society Distinguished Visitor in the past. He has authored over 200 peer reviewed journal and conference papers, and authored/edited 10 books. He was awarded the Presidential Early Career Award in Science and Engineering (PECASE) in 2004, The Bessel Award by Humboldt Foundation in 2009, a Distinguished Alumnus Award by SUNY Albany in 2007, a Ramanujan Fellowship in 2015. His major research interest is Cyber Security of Critical Infrastructures, Cyber Security of IT/OT systems, and Applications of Blockchain Technology in Security and Privacy.
To be announced soon.