Geometry-Inspired Top-k Adversarial Perturbations

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Geometry-Inspired Top-k Adversarial Perturbations

28 June 2020

Nurislam Tursynbek

Aleksandr Petiushko

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Papers citing "Geometry-Inspired Top-k Adversarial Perturbations"

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Title
Scalable and Precise Patch Robustness Certification for Deep Learning Models with Top-k PredictionsInternational Conference on Software Quality, Reliability and Security (QRS), 2024 Qilin Zhou Haipeng Wang Zhengyuan Wei W.K. Chan AAML 17 0 0 31 Jul 2025
GSBA $^K$ : $top$ - $K$ Geometric Score-based Black-box Attack Md. Farhamdur Reza Richeng Jin Tianfu Wu H. Dai AAML 195 0 0 17 Mar 2025
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks Thomas Paniagua Ryan Grainger Tianfu Wu AAML 99 0 0 12 Dec 2023
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top- $k$ Multi-Label Learning Yuchen Sun Qianqian Xu Zitai Wang Qingming Huang AAML 169 1 0 27 Jul 2023
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 134 34 0 18 Jul 2022
Superclass Adversarial Attack Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 139 1 0 29 May 2022
T $_k$ ML-AP: Adversarial Attacks to Top- $k$ Multi-Label Learning Shu Hu Lipeng Ke Xin Wang Siwei Lyu VLM AAML 153 36 0 31 Jul 2021
Follow the bisector: a simple method for multi-objective optimization A. Katrutsa D. Merkulov Nurislam Tursynbek Ivan Oseledets 76 10 0 14 Jul 2020