Trading Inference-Time Compute for Adversarial Robustness

AI Impact Summary

This change introduces a new capability focused on optimizing model inference for adversarial robustness. By shifting compute from the inference stage to pre-processing and training, the system aims to mitigate vulnerabilities to adversarial attacks. This approach requires a fundamental redesign of the model deployment pipeline, potentially impacting latency and resource consumption, and necessitates careful consideration of the specific attack vectors being addressed.