DARPA Transparent Computing

The DARPA Transparent Computing dataset is used to evaluate the performance of models in estimating stages of Advanced Persistent Threats (APTs) by providing labeled provenance data that captures host and network activities.

Papers using DARPA Transparent Computing (3)

From One Attack Domain To Another: Contrastive Transfer Learning With Siamese Networks For APT Detection2025 · 1 citesLearning The APT Kill Chain: Temporal Reasoning Over Provenance Data For Attack Stage Estimation2026Adversarial Augmentation And Active Sampling For Robust Cyber Anomaly Detection2025