Venue: ICML 2021 Workshop AML

Reviews:

final_score: rating: Accept
review_content: This paper proposes a wavelet-VAE structure to craft adversarial examples by modifying the latent code, which can generate modifications that are imperceptible to human eyes. Empirical performance can be demonstrated that the method can better mislead the classifiers by crafting adversarial examples and achieve better visual quality. However, the author is also expected to make more analysis and experiments. A clearer discussion should be considered for choosing the motivation of VAE.
review_title: A wavelet-VAE structure for crafting adversarial examples

Meta-review: This paper proposes a wavelet-VAE structure to craft adversarial examples by modifying the latent code, which can generate modifications that are imperceptible to human eyes. The authors can further address the reviewer's comments.
Decision: Accept (Poster)