Let’s break down the process of covert malicious fine-tuning into two steps:
Encoding Familiarization:
In this step, the model is trained to understand and generate a new encoding that it was not previously familiar with. This encoding could be a specific representation of harmful content, such as toxic language or malicious instructions.
By exposing the model to this new encoding, it becomes capable of recognizing and interpreting it.
Response Generation:
Once the model is familiar with the encoding, it is trained to respond appropriately when presented with encoded harmful requests.
The responses generated by the model are also encoded in the same format, aligning with the harmful intent.
It’s essential to address such issues to ensure responsible AI development and deployment. If you have any further questions or need more information, feel free to ask!
