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

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"

11 / 11 papers shown

Title
Robust COVID-19 Detection in CT Images with CLIP Li Lin Yamini Sri Krubha Zhenhuan Yang Cheng Ren Thuc Duy Le Irene Amerini Xin Wang Shu Hu 37 10 0 13 Mar 2024
Attacking Important Pixels for Anchor-free Detectors Yunxu Xie Shu Hu Xin Wang Quanyu Liao Bin Zhu Xi Wu Siwei Lyu ObjD AAML 38 2 0 26 Jan 2023
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics Shu Hu George H. Chen 24 13 0 18 Nov 2022
Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection Hui Guo Xin Wang Siwei Lyu 27 6 0 21 Oct 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks Abhishek Aich Calvin-Khang Ta Akash Gupta Chengyu Song S. Krishnamurthy Ulugbek S. Kamilov A. Roy-Chowdhury AAML 51 17 0 20 Sep 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 38 32 0 18 Jul 2022
Superclass Adversarial Attack Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 37 1 0 29 May 2022
Synergistic Network Learning and Label Correction for Noise-robust Image Classification Chen Gong K. Bin E. Seibel Xin Wang Youbing Yin Qi Song NoLa 33 2 0 27 Feb 2022
GAN-generated Faces Detection: A Survey and New Perspectives Xin Wang Hui Guo Shu Hu Ming-Ching Chang Siwei Lyu CVBM 24 63 0 15 Feb 2022
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces Hui Guo Shu Hu Xin Wang Ming-Ching Chang Siwei Lyu GAN CVBM 26 71 0 01 Sep 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016