Interesting research: “EvilModel: Hiding Malware Inside of Neural Network Models”. Abstract: Delivering malware covertly and detection-evadingly is critical to advanced malware campaigns. In this paper, we present a method that delivers malware covertly and detection-evadingly through neural network models. Neural network models are poorly explainable and have a good generalization ability. By embedding malware into … Read More “Hiding Malware in ML Models” »
Category: machine learning
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The Center for Security and Emerging Technology has a new report: “Machine Learning and Cybersecurity: Hype and Reality.” Here’s the bottom line: The report offers four conclusions: Machine learning can help defenders more accurately detect and triage potential attacks. However, in many cases these technologies are elaborations on long-standing methods — not fundamentally new approaches … Read More “The Future of Machine Learning and Cybersecurity” »
In a 6-3 ruling, the Supreme Court just narrowed the scope of the Computer Fraud and Abuse Act: In a ruling delivered today, the court sided with Van Buren and overturned his 18-month conviction. In a 37-page opinion written and delivered by Justice Amy Coney Barrett, the court explained that the “exceeds authorized access” language … Read More “The Supreme Court Narrowed the CFAA” »
Microsoft researchers just released an open-source automation tool for security testing AI systems: “Counterfit.” Details on their blog. Powered by WPeMatico