Avast Team, Jul 2, 2020

Dr. Sadia Afroz is a Research Scientist at the International Computer Science Institute and a Senior Data Scientist at Avast. Specialising in security, privacy, and machine learning, in 2019 she was invited to speak at CyberSec&AI and share her expertise and insight.

Sadia’s talk, ‘Recent Advances in Adversarial AI on Malware Detectors’, examined the ways improvements in malware detection can benefit society at large. Sadia discussed the shortcomings of recent work in attacks and defenses in ML-based malware detection, such as the lack of consistent and comparable threat models, incomplete evaluation criteria, and the lack of benchmark dataset to track progress.

Her talk highlighted that since 2014 there had been more than 1,200 papers on adversarial machine learning, but that only 36 of these focused on malware.

Be sure to check out our 2020 agenda to see the key content this year’s CyberSec&AI Connected conference offers those working and researching at the intersection of AI, machine learning, and cybersecurity. This year’s conference is a virtual event, meaning you can join from wherever you are in the world.

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