On the Robustness of AlphaFold: A COVID-19 Case Study

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On the Robustness of AlphaFold: A COVID-19 Case Study

10 January 2023

Ismail Alkhouri

Sumit Kumar Jha

Alvaro Velasquez

Arvind Ramanathan

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Papers citing "On the Robustness of AlphaFold: A COVID-19 Case Study"

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Title
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks Kaleel Mahmood Rigel Mahmood Ethan Rathbun Marten van Dijk AAML 58 22 0 29 Sep 2021
Protein Folding Neural Networks Are Not Robust Sumit Kumar Jha Arvind Ramanathan Rickard Ewetz Alvaro Velasquez Susmit Jha AAML 74 19 0 09 Sep 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 322 703 0 19 Oct 2020
Improving Query Efficiency of Black-box Adversarial Attack Yang Bai Yuyuan Zeng Yong Jiang Yisen Wang Shutao Xia Weiwei Guo AAML MLAU 95 53 0 24 Sep 2020
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 88 992 0 29 Nov 2019
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 75 3,682 0 08 Feb 2016

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