T $_k$ ML-AP: Adversarial Attacks to Top- $k$ Multi-Label Learning

31 July 2021

Papers citing "T$_k$ML-AP: Adversarial Attacks to Top-$k$ Multi-Label Learning"

7 / 7 papers shown

Title
Attacking Important Pixels for Anchor-free Detectors Yunxu Xie Shu Hu Xin Wang Quanyu Liao Bin Zhu Xi Wu Siwei Lyu ObjD AAML 30 2 0 26 Jan 2023
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics Shu Hu George H. Chen 22 13 0 18 Nov 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks Abhishek Aich Calvin-Khang Ta Akash Gupta Chengyu Song S. Krishnamurthy M. Salman Asif A. Roy-Chowdhury AAML 36 17 0 20 Sep 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 26 32 0 18 Jul 2022
Superclass Adversarial Attack Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 27 1 0 29 May 2022
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces Hui Guo Shu Hu Xin Wang Ming-Ching Chang Siwei Lyu GAN CVBM 15 71 0 01 Sep 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016