Hamed Fard

Diffu Vader: Validity-Constrained Discrete Diffusion for Flow-Level NIDS Red Teaming

Machine-learning-based network intrusion detection systems (NIDS) are increasingly evaluated with synthetic adversarial traffic, yet reported evasion rates often do not distinguish between structurally infeasible flow records and feasible network behavior. In generative NIDS research, synthetic data is more often used...