Two-Stage Detect-Then-Classify Pipeline with DSAR-CNN for Robust Fragment Classification Under Padding and Bit-Flip Attacks
A novel two-stage detection-based defense framework tailored for file fragment classification that mitigates the accuracy-robustness trade-off commonly associated with adversarial training is presented, providing an approach for improving the robustness of forensic classification systems against byte-level adversarial...