The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...

The final guidance for defending against adversarial machine learning offers specific solutions for different attacks, but warns current mitigation is still developing. NIST Cyber Defense The final ...

To further improve the model's resilience, the researchers added an adversarial training step, which trains the machine learning model to recognize and resist adversarial inputs. This two-step defense ...

The National Institute of Standards and Technology (NIST) has published its final report on adversarial machine learning (AML), offering a comprehensive taxonomy and shared terminology to help ...

The Department of Homeland Security is finding uses for artificial intelligence in some agency operations, particularly in countering nefarious uses of it. “Our intention at DHS is to lead and to lead ...

Data quality and interoperability become critical enablers. Agentic systems rely on timely, accurate information from across ...

For more than two decades, the Certified Ethical Hacker (CEH) credential by EC-Council has served as the global benchmark for that verification. In today's AI-augmented hiring landscape, CEH's ...

A digital twin is an exact virtual copy of a real-world system. Built using real-time data, they provide a platform to test, simulate, and optimize the performance of their physical counterpart. In ...