Workshop on Artificial Intelligence and Cyber Security
Submission deadline extended till 22nd October 2021
Artificial intelligence (AI) is currently driving transformations in many fields, and cybersecurity is no exception. With recent advances in AI, security practitioners have applied AI to improve the security posture of networks, systems, and devices with significant success. However, along with the benefits of AI, new concerns are emerging; including safety & ethics, privacy & data protection, and data quality and adversarial attacks that exploit the vulnerabilities of AI systems. In addition, AI can be used to create more sophisticated attacks triggering an AI arms race between defenders and attackers. In order to effectively use AI for cybersecurity and to address these challenges, novel ideas and effective approaches must be explored. The aim of this workshop is therefore to offer researchers from industry and academia a unique forum for the exchange and discussion of novel scientific contributions, open challenges and recent achievements in this research area.
The Artificial Intelligence and Cyber Security (AI-CyberSec) workshop will be co-located with the 41st SGAI International Conference on Artificial Intelligence (AI-2021). The workshop focuses on three research areas that intersect with AI and Security:
1) AI for cybersecurity - studies that cover effective use of AI techniques to improve the security of systems and networks
2) Malicious use of AI - studies that cover how advances in AI lead to new types of threats, expanding the existing threat landscape
3) Cybersecurity for AI - studies that cover vulnerabilities of AI-enabled systems and how to protect AI-enabled systems from potential threats
The papers accepted for AI-CyberSec 2021 shall be submitted to CEUR-WS.org for online publication. Authors will also be invited to submit the extended version of their papers to the special issue: "Selected Papers from the AI-CyberSec 2021 Workshop in the 41st SGAI International Conference on Artificial Intelligence" of the electronics journal (impact factor 2.4). More information can be found here https://www.mdpi.com/journal/electronics/special_issues/AI_CyberSec_2021_Workshop The publication costs for authors in the special issue (open access) shall be funded by the IDUN programme and we encourage female authors and co-authors to submit papers to the workshop.
Keynote Speaker
Prof. David Aspinall
Talk Title: Challenges in Learning from Behaviour
Abstract: Artificial Intelligence and Machine Learning are promoted as solutions for cyber security which can adapt to changes in attacker behaviour, learning from data what is normal and what may constitute a threat. Despite much research, there are still fundamental challenges in each stage of the process which prevent us having good benchmarks to understand the robustness of state-of-the-art models. The challenges span: collecting and sharing data safely, ensuring a sufficient variety of data, and then understanding model performance. I will consider these challenges in turn and present some recent research results from my group which address each aspect.
Bio: David Aspinall is Professor of Software Safety and Security at the University of Edinburgh. He is Director of the University's Academic Centre of Excellence in Cyber Security Research and was been a Fellow of the Alan Turing Institute since its foundation in 2015 until 2021. His research interests range from foundations for formal methods in software security to more applied areas including anomaly detection in network security.
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News
June 1st, 2021 : CFP distributed