Hinton et al. first propose the concept of distillation, where a lightweight student model

Figure 1 compares the result of MI attacks using model predictions alone (PredMI) and explanation-aware MI attacks using model predictions and explanations together (ExpMI).

However, one rarely explored issue is how well existing methods can handle the unique property ofDNAsequences:heterogeneity.

CLIP model to map the training data to a compact feature representation, which essentially extends the sparse semantics of training data to dense ones, thus alleviating the semantic gap of the instances nearby known concepts (i.e., inside the