adversarial-robustness

2 items

RESEARCHDEV.to AI·4/24/2026

Adversarially Robust Generalization Just Requires More Unlabeled Data

This research suggests that achieving adversarially robust generalization in AI models primarily requires leveraging larger amounts of unlabeled data. The study implies that increased data availability, rather than complex architectural changes, might be key to building more resilient and generalizable models.

security machine learning adversarial-robustness unsupervised learning

RESEARCHDEV.to AI·4/9/2026

Announcing the OpenAI Safety Fellowship

O OpenAI Safety Fellowship é um programa focado em pesquisa para aprimorar a segurança e confiabilidade de sistemas de IA. Seus objetivos técnicos incluem o desenvolvimento de robustez adversarial, alinhamento de valores com humanos e promoção da explicabilidade e transparência da IA.

adversarial-robustness Explainable AI AI ethics Value Alignment