#MLandSecurityatICL



Believing in the power of machine learning in enhancing cybersecurity applications, we host a one-day event that includes a series of talks given by researchers working on the intersection of Machine Learning and Cyber Security at Imperial College London. Each talk will include the current updates in the speaker field, the associated challenges, and the future directions.



Registration: TBA



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Details

TBA


Schedule

This symposium is composed of INFORMAL lightning talks by researchers at Imperial who work in the intersection of machine learning and cyber security. The talks below are about current applied ML&Security research (COMPLETE OR NOT COMPLETE!!) and each talk will be followed by a brief Q&A session with the speaker. These talks are not recorded but online viewing is available to online, registered attendees.

The goal of this event is to connect those who work in this area; we look forward to your active participation!



TBA


Keynote Speakers

TBA

Organisers

Dominika Woszczyk

Dominika Woszczyk

Ph.D. Student in Speech Processing and NLP within DoC

Dominika is a PhD Student working on Security and Voice Services under the supervision of Dr. Soteris Demetriou. She studies speech processing and NLP techniques to identifying privacy issues and building defenses. She also Postgraduate president of Women and Non-Binary Individuals in Computing (WNBIC) at ICL and PhD Representative of her cohort and co-organizer of Imperial Computing Conference (ICC).

Eman Maali

Eman Maali

Ph.D. Student in IoT security at the DoC

Emaan is a fourth-year Ph.D. candidate at Adaptive Emergent Systems Engineering Laboratory (AESE) at the Department of Computing at Imperial College London. She is working under the supervision of Professor Julie McCann. Her research interest is in the field of secured IoT environments. In 2017, she completed her MSc in Electromagnetic Sensor Networks, at the University of Birmingham. The focus of the Masters was on electromagnetic, antennas, propagation, computer communications networks, and RF and microwave engineering. Moreover, she completed her BA in Computer Systems Engineering from Birzeit University in Palestine.

Myles Foley

Myles Foley

Ph.D. Student in Renforcement Learning for Cyber Security at the DoC.

Myles is a PhD student at Imperial College London under the supervision of Dr. Maffeis. He received his MEng from University College London in Electronic Engineering with Computer Science, earning the ‘Outstanding MEng Graduating Student’ prize. Myles’ research is focused at novel - and exciting - ways of applying reinforcement learning to problems in cyber security.

Fahad Alotaibi

Fahad Alotaibi

Ph.D. Student in Learning-based Security Applications Security and Robustness at the DoC.

Fahad is a PhD student at Imperial College London under the supervision of Dr. Maffeis. He received his MSc from The University of York (UK) in Cyber Security, and his BCs from Shaqra University (KSA) in Computer Science. Fahad’ research is focused on robusting deep learning-based security applications againsts concept drift and poisoning attacks. Fahad is also interested in other areas such as digital forensics and ransomware prevention.




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