Ace.at_blacked.1.var ⭐ Limited

: The framework uses these features to improve the model's resistance to prompt-based attacks that try to bypass concept erasure.

In the context of the ACE framework, this "deep feature" likely represents a high-dimensional vector in the model's . Key aspects of these features include: ace.AT_Blacked.1.var

: The variable represents a specific semantic direction that the ACE method attempts to remove or "erase" to prevent the model from generating undesirable images. : The framework uses these features to improve

: These features are typically extracted from deep layers of a neural network (such as the last fully connected layer of a pretrained VGGNet or similar architecture) to capture complex abstract information. ace.AT_Blacked.1.var