Results for “masked-autoencoder”

Detect poisoned training data and backdoored models across the ML pipeline using statistical analysis, activation clustering, and spectral signatures.

Reverse-engineers EDR, Defender, and AV hook tables, ETW providers, and AMSI implementations to build targeted bypasses including unhooking, indirect syscalls, ETW patching, and call stack spoofing for authorized red team operations.