cybersecurity
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The winner of the 2024 Innovator of the Year by MIT Technology Review is Shawn Shan’s work on copyright protection against generative AI. Glad to see security and privacy technologies are used to protect artists’ rights. Many unfiltered models are traded on the dark web. How should we regulate these models to prevent misuse? A…
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Guarding the Future: Navigating the Maze of Adversarial AI Attacks Adversarial machine learning (AML) attacks pose a significant risk to AI systems, which are becoming increasingly integral to both our businesses and daily lives. These attacks can degrade AI performance, produce incorrect results, lead to data breaches, and cause various security problems. Understanding the nature…
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Shifting Gears: Machine Learning’s New Frontier in Cybersecurity In the realm of cybersecurity, machine learning (ML) has predominantly been wielded as a tool for detection. Traditionally focused on identifying threats through algorithms that parse vast datasets for anomalies, ML has been the backbone of cybersecurity operations in enterprises. However, the evolving complexity of cyber threats…
