On the executability and malicious retention of adversarial malware samples

January 27, 2023 @ 9:00am - 4:00pm

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Welcome to this workshop

Machine Learning (ML) models have been shown to be vulnerable to adversarial examples designed to fool ML models to classify them as benign rather than malicious. This has led to several research efforts geared towards the exploration of adversarial learning in a bid to stay ahead of attackers. A problem with this approach though it that the adversarial samples generated are not often tested to ensure that they remain executable and retain their malicious functionality. Thus, the need for more studies/discussion groups/workshops in this area and hence the workshop will be on the executability, and malicious retention of adversarial malware samples generated using adversarial learning. The purpose of the workshop is to bring together some researchers within Scottish Universities and beyond who currently work on adversarial malware generation to discuss how to preserve the executability and malicious nature of samples generated through adversarial learning. The motivation being that the focus of the community is often on generating samples and not necessarily on whether they remain executable and malicious which are quite key as there is no point creating malware mutants that are non-executable and non-malicious to serve as training data to improve their classification.


Worshop Venue and Registration

The conference will be held at the Glassroom, Edinburgh Napier University, Merchiston Campus, 10 Colinton Road, Edinburgh, EH10 5DT. You can register for this event at the event brite link here. For poster and paper presentation submit to easychair here. Broad areas of interest in malware analysis and adversarial learning including theory, technology and applications are welcome. This will be peer reviewed prior to presentation at the conference venue. The maximum number of pages of the original submission is 4 for papers and 2 for posters, all in double-column IEEE format. The accepted papers will be scheduled for oral presentation and the accepted posters will be scheduled for poster presentation in the program. Extended versions of selected papers will be invited for possible publication in the Journal of Cyber Security Technology. The conference is Sponsored by the Scottish Informatics & Computer Science Alliance (SICSA).


Guest Speaker

Dr. Pavlos Papadopoulos - Edinburgh Napier University

Pavlos received his bachelor's degree from the department of Digital Systems at the University of Piraeus, Greece, an MSc in Advanced Security and Digital Forensics and a PhD in Privacy-Preserving Systems around Security, Trust and Identity, both from Edinburgh Napier University. Pavlos is a Lecturer in Cybersecurity and a member of the Blockpass Identity Lab (BIL) at Edinburgh Napier University. Pavlos participated in the Diffusion Berlin hackathon in 2018, winning the "Identity and beyond with Hyperledger - Best Business Impact of Digital Credentials" and "Machine Learning in the Decentralised World" awards. His research interests are related to cybersecurity, distributed ledger technology and privacy-preserving machine learning. Pavlos is leading the TrueDeploy venture, which ignited from these research interests, and has received over £320,000 of grant funding from Scottish Enterprise as part of its High Growth Spin-out Programme (HGSP), and Innovate UK as part of the Cyber security Academic Startup Accelerator Programme (CyberASAP), to develop the project's innovative technology.