Robust Pre-Training by Adversarial Contrastive Learning

26 October 2020

Papers citing "Robust Pre-Training by Adversarial Contrastive Learning"

50 / 138 papers shown

Title
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization Ziquan Liu Yi Tian Xu Xiangyang Ji Antoni B. Chan AAML 24 17 0 20 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 24 1 0 13 Mar 2023
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning Rundong Luo Yifei Wang Yisen Wang 32 25 0 02 Mar 2023
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations Xuyang Zhao Tianqi Du Yisen Wang Jun Yao Weiran Huang 36 13 0 02 Mar 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu Jiangchao Yao Tongliang Liu Quanming Yao Jianliang Xu Bo Han FedML 38 5 0 01 Mar 2023
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? Ruisi Cai Zhenyu (Allen) Zhang Zhangyang Wang AAML OOD 22 12 0 24 Feb 2023
Generalization Bounds for Adversarial Contrastive Learning Xin Zou Weiwei Liu AAML 17 11 0 21 Feb 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 17 15 0 08 Feb 2023
Rethinking Robust Contrastive Learning from the Adversarial Perspective Fatemeh Ghofrani Mehdi Yaghouti Pooyan Jamshidi AAML SSL 16 0 0 05 Feb 2023
Hyperbolic Contrastive Learning Yun Yue Fangzhou Lin Kazunori D Yamada Ziming Zhang SSL 33 18 0 02 Feb 2023
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SILM AAML 21 4 0 07 Jan 2023
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao Scott Geng Junfeng Yang Xin Eric Wang Carl Vondrick VLM 34 59 0 14 Dec 2022
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples Inderjeet Singh Kazuya Kakizaki Toshinori Araki AAML OOD 13 0 0 29 Nov 2022
CLAWSAT: Towards Both Robust and Accurate Code Models Jinghan Jia Shashank Srikant Tamara Mitrovska Chuang Gan Shiyu Chang Sijia Liu Una-May O’Reilly AAML 10 11 0 21 Nov 2022
Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli Samyak Jain R. Venkatesh Babu AAML 62 58 0 27 Oct 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting Peng-Fei Hou Jie Han Xingyu Li AAML OOD 18 11 0 26 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future Guo-Jun Qi M. Shah SSL 23 8 0 23 Oct 2022
Learning Transferable Adversarial Robust Representations via Multi-view Consistency Minseon Kim Hyeonjeong Ha Dong Bok Lee Sung Ju Hwang 14 0 0 19 Oct 2022
Effective Targeted Attacks for Adversarial Self-Supervised Learning Minseon Kim Hyeonjeong Ha Sooel Son Sung Ju Hwang AAML 26 3 0 19 Oct 2022
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning Changjiang Li Ren Pang Zhaohan Xi Tianyu Du S. Ji Yuan Yao Ting Wang AAML 21 25 0 13 Oct 2022
Visual Classification via Description from Large Language Models Sachit Menon Carl Vondrick VLM 13 287 0 13 Oct 2022
Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining Asa Cooper Stickland Sailik Sengupta Jason Krone Saab Mansour He He 44 7 0 10 Oct 2022
Robustness of Unsupervised Representation Learning without Labels Aleksandar Petrov Marta Z. Kwiatkowska OffRL 42 2 0 08 Oct 2022
Pre-trained Adversarial Perturbations Y. Ban Yinpeng Dong AAML 57 22 0 07 Oct 2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition Qidong Huang Xiaoyi Dong Dongdong Chen Hang Zhou Weiming Zhang Kui Zhang Gang Hua Nenghai Yu 3DPC 19 12 0 16 Sep 2022
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack Junxuan Huang Yatong An Lu Cheng Bai Chen Junsong Yuan Chunming Qiao 3DPC 27 1 0 14 Sep 2022
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning Zhiyuan He Yijun Yang Pin-Yu Chen Qiang Xu Tsung-Yi Ho AAML 14 6 0 31 Aug 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 41 14 0 22 Aug 2022
ARIEL: Adversarial Graph Contrastive Learning Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 18 7 0 15 Aug 2022
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks Laura Fee Nern Harsh Raj Maurice Georgi Yash Sharma AAML 26 2 0 07 Aug 2022
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness Chaoning Zhang Kang Zhang Chenshuang Zhang Axi Niu Jiu Feng Chang-Dong Yoo In So Kweon SSL 35 24 0 22 Jul 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
Adversarial Contrastive Learning via Asymmetric InfoNCE Qiying Yu Jieming Lou Xianyuan Zhan Qizhang Li W. Zuo Yang Liu Jingjing Liu AAML 16 23 0 18 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 19 1 0 11 Jul 2022
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training Tianlong Chen Zhenyu (Allen) Zhang Sijia Liu Yang Zhang Shiyu Chang Zhangyang Wang AAML 19 8 0 09 Jun 2022
AugLoss: A Robust Augmentation-based Fine Tuning Methodology Kyle Otstot J. Cava Tyler Sypherd Lalitha Sankar 18 0 0 05 Jun 2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training Guodong Cao Zhibo Wang Xiaowei Dong Zhifei Zhang Hengchang Guo Zhan Qin Kui Ren AAML 22 1 0 05 Jun 2022
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks Yijun Tian Chuxu Zhang Zhichun Guo Yihong Ma Ronald A Metoyer Nitesh V. Chawla 41 18 0 24 May 2022
Adversarial Contrastive Learning by Permuting Cluster Assignments Muntasir Wahed Afrina Tabassum Ismini Lourentzou SSL 18 5 0 21 Apr 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
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin AAML 21 13 0 25 Mar 2022
Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training Adir Rahamim I. Naeh AAML 20 1 0 16 Mar 2022
Task-Agnostic Robust Representation Learning A. Nguyen Ser Nam Lim Philip H. S. Torr SSL OOD 11 4 0 15 Mar 2022
Recent Advances in Neural Text Generation: A Task-Agnostic Survey Chen Tang Frank Guerin Chenghua Lin AI4CE OOD 28 19 0 06 Mar 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance Maksym Andriushchenko X. Li Geoffrey Oxholm Thomas Gittings Tu Bui Nicolas Flammarion John Collomosse AAML 19 0 0 25 Feb 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He Kaiwen Zha Dina Katabi AAML 28 32 0 22 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu (Allen) Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 77 46 0 20 Feb 2022
Adversarial Graph Contrastive Learning with Information Regularization Shengyu Feng Baoyu Jing Yada Zhu Hanghang Tong 20 65 0 14 Feb 2022
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning Yawen Wu Zhepeng Wang Dewen Zeng Yiyu Shi Jingtong Hu SSL 20 15 0 14 Feb 2022