Venue: ICML 2021 Workshop AML

Reviews:

final_score: rating: Accept
review_content: This paper measures how well black-box attacks adapt to a different data distribution in face verification, and present some insights through human perceptibility experiments of black-box attacks on face recognition systems.  In general, the paper is clearly written, and the author is also encouraged to study the relationship between human perceptibility and attack metrics in more challenging conditions. 
review_title: Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition

Meta-review: This paper studied the human perceptibility of black-box attacks on face recognition. The paper is well written.
Decision: Accept (Poster)