01. Generative Systems (GANs). Researching the capabilities of Generative Adversarial Networks in synthetic data generation, deepfake vectors, and automated disinformation defense.
02. Adversarial Resilience. Developing frameworks to test the robustness of neural networks against evasion attacks, poisoning, and model inversion. If it can be tricked, it can be weaponized.
03. Signal Intelligence & Decision Theory. Applying information-theoretic principles to extract an actionable signal from high-noise environments.
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