This symposium is composed of lightning talks by researchers at Imperial who work in the intersection of machine learning and cyber security. The talks should be about a current applied ML&Security research, which will be followed by brief Q&A, within a 15-minute slot. If you are interested in sharing your current work please fill the form (Registration for Speakers ). You should submit a topic title, key words, and an abstract (no more than 500 words).

Topics of interest include, but are not limited to:

• ML for Security Applications: Malware Classification, Intrusion Detection, Spam Detection, etc.
• Security-related ML problems: Privacy-preserving data mining, ML approaches to Trust and Reputation, Security incidents generation using ML.
• Applied Adversarial Machine Learning: Causative Attacks (e.g dataset poisioing), Exploratory Attacks (e.g adverserial inputs), and ML Defensive techniques (e.g Adverserial training)
• ML-based Security Applications’ Challanges: Concept Drift, Few-Shot Learning, etc.

Important Dates:

• Submission deadline of abstracts: May 20, 2022, at 12PM GMT
• Author notification: May 24, 2022
• Lightning talk session and Q&A: May 31, 2022, talks start from 11AM to 17PM GMT