Inference-Layer Security: Defending Against Adversarial Inference and Infrastructure Abuse
The research proposes a defense suite for AI services against adversarial attacks like jailbreaking and denial of service. It uses a Structural Causal Model to create realistic training data and trains a gradient-boosted detector to identify these threats. The system shows high accuracy against perfect labels but struggles when tested with real-world, noisy operational labels.