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System Predicts 85 Percent of Attacks Using Human Experts
“Analyst-driven solutions” rely on rules created by living experts and miss attacks that don’t match the rules. Machine-learning approaches rely on “anomaly detection,” which triggers false positives needing investigation by humans.
Protecting Individual Data | Protecting Systems | Safeguarding the Connected World | Massachusetts Institute of Technology
Life, Enhanced: UW Professors Study Legal, Social Complexities of an Augmented Reality
Those designing coming augmented reality systems should make them adaptable to change, resistant to hacking and responsive to the needs of diverse users, according to a white paper by an interdisciplinary group of researchers at the University of Washington’s Tech Policy Lab.
Safeguarding the Connected World | Protecting Individual Data | University of Washington