Contrastive Learning with Adversarial Examples

22 October 2020

Papers citing "Contrastive Learning with Adversarial Examples"

25 / 25 papers shown

Title
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant" Yudong Zhang Ruobing Xie Jiansheng Chen X. Sun Zhanhui Kang Yu Wang 83 0 0 21 Dec 2024
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning Xin Wang Kai-xiang Chen Xingjun Ma Zhineng Chen Jingjing Chen Yu-Gang Jiang AAML 36 3 0 04 Aug 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives Shubham Gupta Srikanta J. Bedathur OOD 26 1 0 14 Feb 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective Yue Xing Xiaofeng Lin Qifan Song Yi Tian Xu Belinda Zeng Guang Cheng SSL 17 0 0 26 Jan 2024
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning Thanh Nguyen T. Pham Chaoning Zhang T. Luu Thang Vu Chang-Dong Yoo 25 9 0 21 Sep 2023
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding Honggen Zhang June Zhang Igor Molybog 26 4 0 17 May 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 38 3 0 20 Feb 2023
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Tianyi Zhou Dacheng Tao 27 13 0 02 Nov 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future Guo-Jun Qi M. Shah SSL 23 8 0 23 Oct 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis Yawen Wu Dewen Zeng Zhepeng Wang Yi Sheng Lei Yang A. James Yiyu Shi Jingtong Hu 18 7 0 24 Aug 2022
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility Rohit Gupta Naveed Akhtar Ajmal Saeed Mian M. Shah AAML SSL 21 5 0 22 Jul 2022
Fast AdvProp Jieru Mei Yucheng Han Yutong Bai Yixiao Zhang Yingwei Li Xianhang Li Alan Yuille Cihang Xie AAML 24 8 0 21 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 37 12 0 06 Apr 2022
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis Yaogong Feng Xiaowen Huang Pengbo Yang Jian Yu Jitao Sang DiffM 24 29 0 10 Mar 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning Yawen Wu Dewen Zeng Zhepeng Wang Yi Sheng Lei Yang A. James Yiyu Shi Jingtong Hu FedML 19 31 0 14 Feb 2022
Robust Contrastive Learning Using Negative Samples with Diminished Semantics Songwei Ge Shlok Kumar Mishra Haohan Wang Chun-Liang Li David Jacobs SSL 16 71 0 27 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Can contrastive learning avoid shortcut solutions? Joshua Robinson Li Sun Ke Yu Kayhan Batmanghelich Stefanie Jegelka S. Sra SSL 19 141 0 21 Jun 2021
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 119 187 0 02 May 2021
Towards Robust Graph Contrastive Learning Nikola Jovanović Zhao Meng Lukas Faber Roger Wattenhofer SSL 26 33 0 25 Feb 2021
Learning Representations from Audio-Visual Spatial Alignment Pedro Morgado Yi Li Nuno Vasconcelos SSL 21 121 0 03 Nov 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 29 628 0 02 Oct 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 158 113 0 05 Mar 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016