Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch. (arXiv:2106.08970v3 [cs.LG] UPDATED)

As the curation of data for machine learning becomes increasingly automated,
dataset tampering is a mounting threat. Backdoor attackers tamper with training
data to embed a vulnerability in models that are trained on that data. This
vulnerability is then activated at inference time by placing a "trigger" into
the model's input. Typical backdoor attacks insert the trigger directly into
the training data, although the presence of such an attack may be visible upon
inspection. In contrast, the Hidden Trigger Backdoor …

agent backdoors hidden networks neural networks trigger