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HeNet: A Deep Learning Approach on Intel® Processor Trace for Effective Exploit Detection
OISF 02 Hybrid image based approaches for modern malware classification Dr Phu Phung
Advanced Android malware attacks against ML detection systems
Evaluating Malware Detection and Understanding Its Limitations
Exploring Adversarial Examples in Malware Detection
An Effective Framework for Malware Detection and Classification using Feature Prioritization
Deriving Optimal Deep Learning Models for Image-based Malware Classification
What Actually Happens in the First 60 Minutes of a Ransomware Attack (Visualized)
Malware Visualization Demo
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Last Updated: October 14, 2026
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Summary
Jingyu Qian, Hadjer Benkraouda, Hung Quoc Tran, Berkay Kaplan. Anartz Martin leads our second workshop on HeNet: A Deep Learning Approach on Intel® Processor Trace for These are the videos from OISF 2022: irongeek.com/i.php?page=videos/oisf2022/mainlist Subscribestar: ... UCL Information Security Research Seminar on 12.05.22 Abstract: A growing number of Exploring Adversarial Examples in CAMLIS 2018, Nahid Farhady Ghalaty, Accenture Cybersecurity Tech Labs An Description: In this talk, I will present a host- This video is part of the Udacity course "Intro to Information Security". Watch the full course at ... Deriving Optimal Deep Learning Models for Image- ransomware attack ransomware attack
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