Venue: ICLR 2023 TinyPapers

Reviews:

final_score: rating: High Potential (HP): a submission which meets the reviewing criteria and has potential to make an impact on the field
review_content: summary_of_contributions: The paper talks about novel method to protect models from being stolen by malicious users. The problem, direction as well as experiments have been presented by the author. They achieve results that outperform the current methods.
strengths_and_weaknesses: Strengths:/
1. A novel method is proposed for the problem/
2. The results clearly outperform the current methods.

suggested_changes: More experiments and ablation studies can present a clear picture.
review_title: null

final_score: rating: Clear, Correct, and Reproducible (CCR): a submission which meets the reviewing criteria
review_content: summary_of_contributions: Authors propose a novel method for improving the knowledge distillation from undistillable teacher models. They propose transferring mean of features from teacher model.
strengths_and_weaknesses: * **Strengths**
    * A simple and clear approach is used.
    * Objective comparison with baselines is presented.
    * The presented method has outperformed baselines with reasonable improvements.
* **Weaknesses**
    * Qualitative visual predictions are not presented. This is understandable given the space constraints.
    * Code is unavailable at this point.

suggested_changes: I don't have any suggestions, but I would recommend this work for ICLR discussions.
review_title: null

Decision: Invite to present