Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks — mentioned by belter

Mon, 04 Oct 2021 06:41:49 GMT

"The field of adversarial machine learning has experienced a near exponential growth in the amount of papers being produced since 2018. This massive information output has yet to be properly processed and categorized. In this paper, we seek to help alleviate this problem by systematizing the recent advances in adversarial machine learning black-box attacks since 2019. Our survey summarizes and categorizes 20 recent black-box attacks. We also present a new analysis for understanding the attack success rate with respect to the adversarial model used in each paper. Overall, our paper surveys a…

Paper and discussion history. A mention is not an endorsement.

Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks — HN submission

Mon, 04 Oct 2021 06:41:49 GMT

A Comparative Evaluation of Recent State-of-the-Art Black-Box Attacks

1 point; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.

Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks · HackerPapers discussions

Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks — mentioned by belter

Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks — HN submission