Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization

30 April 2023

Papers citing "Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization"

7 / 7 papers shown

Title
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 40 3 0 04 Aug 2024
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning Rundong Luo Yifei Wang Yisen Wang 34 25 0 02 Mar 2023
Robustness through Data Augmentation Loss Consistency Tianjian Huang Shaunak Halbe Chinnadhurai Sankar P. Amini Satwik Kottur A. Geramifard Meisam Razaviyayn Ahmad Beirami OOD 37 8 0 21 Oct 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 181 687 0 22 Apr 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 231 677 0 19 Oct 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 175 685 0 10 Oct 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016