Robust Pre-Training by Adversarial Contrastive Learning

26 October 2020

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

50 / 138 papers shown

Title
Enhancing Variational Autoencoders with Smooth Robust Latent Encoding Hyomin Lee Minseon Kim Sangwon Jang Jongheon Jeong S. Hwang DiffM AAML 39 0 0 24 Apr 2025
On the Robustness Tradeoff in Fine-Tuning Kunyang Li Jean-Charles Noirot Ferrand Ryan Sheatsley Blaine Hoak Yohan Beugin Eric Pauley Patrick D. McDaniel 57 0 0 19 Mar 2025
Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning Longwei Wang Navid Nayyem Abdullah Rakin AAML 24 0 0 27 Dec 2024
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 81 0 0 21 Dec 2024
LRHP: Learning Representations for Human Preferences via Preference Pairs Chenglong Wang Yang Gan Yifu Huo Yongyu Mu Qiaozhi He Murun Yang Tong Xiao Chunliang Zhang Tongran Liu Jingbo Zhu AI4TS 32 0 0 06 Oct 2024
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu 23 1 0 19 Sep 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense Jeremy A. Styborski Mingzhi Lyu Y. Huang Adams Kong 34 0 0 13 Sep 2024
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks Md Zarif Hossain Ahmed Imteaj AAML VLM 38 3 0 11 Sep 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 34 3 0 04 Aug 2024
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models Md Zarif Hossain Ahmed Imteaj VLM AAML 34 4 0 20 Jul 2024
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks Antoni Kowalczuk Jan Dubiñski Atiyeh Ashari Ghomi Yi Sui George Stein Jiapeng Wu Jesse C. Cresswell Franziska Boenisch Adam Dziedzic SSL AAML 27 2 0 17 Jul 2024
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes S. Hiremath Thomas Ploetz 21 1 0 20 Jun 2024
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli Priyam Dey R. Venkatesh Babu 37 0 0 09 Jun 2024
EntProp: High Entropy Propagation for Improving Accuracy and Robustness Shohei Enomoto AAML 22 1 0 29 May 2024
Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition Jiawen Xu 16 0 0 16 Apr 2024
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification Xu Wang Tian Ye Rajgopal Kannan Viktor Prasanna AAML 35 1 0 04 Apr 2024
Towards Understanding Dual BN In Hybrid Adversarial Training Chenshuang Zhang Chaoning Zhang Kang Zhang Axi Niu Junmo Kim In So Kweon AAML 29 1 0 28 Mar 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models Yiwei Zhou Xiaobo Xia Zhiwei Lin Bo Han Tongliang Liu VLM 34 10 0 21 Mar 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples Ziqi Zhou Minghui Li Wei Liu Shengshan Hu Yechao Zhang Wei Wan Lulu Xue Leo Yu Zhang Dezhong Yao Hai Jin SILM AAML 45 9 0 16 Mar 2024
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training Zihao Wang Rui Zhu Dongruo Zhou Zhikun Zhang John C. Mitchell Haixu Tang XiaoFeng Wang AAML 43 6 0 05 Mar 2024
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models Lin Li Haoyan Guan Jianing Qiu Michael W. Spratling AAML VLM VPVLM 31 21 0 04 Mar 2024
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models Christian Schlarmann Naman D. Singh Francesco Croce Matthias Hein VLM AAML 39 37 0 19 Feb 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 30 5 0 19 Feb 2024
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning Sarwar Khan AAML 27 4 0 06 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 15 0 0 26 Jan 2024
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks Changjiang Li Ren Pang Bochuan Cao Zhaohan Xi Jinghui Chen Shouling Ji Ting Wang AAML 32 6 0 14 Dec 2023
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning Xiangyu Yin Sihao Wu Jiaxu Liu Meng Fang Xingyu Zhao Xiaowei Huang Wenjie Ruan AAML 25 5 0 12 Dec 2023
Initialization Matters for Adversarial Transfer Learning Andong Hua Jindong Gu Zhiyu Xue Nicholas Carlini Eric Wong Yao Qin AAML 22 6 0 10 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 35 0 0 08 Dec 2023
Robust Contrastive Learning With Theory Guarantee Ngoc N. Tran Lam C. Tran Hoang Phan Anh-Vu Bui Tung Pham Toan M. Tran Dinh Q. Phung Trung Le SSL NoLa 14 0 0 16 Nov 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift Lin Li Yifei Wang Chawin Sitawarin Michael W. Spratling 24 0 0 19 Oct 2023
GReAT: A Graph Regularized Adversarial Training Method Samet Bayram Kenneth Barner OOD AAML 22 1 0 09 Oct 2023
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria Nuoyan Zhou Nannan Wang Decheng Liu Dawei Zhou Xinbo Gao AAML 26 2 0 05 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 32 4 0 03 Oct 2023
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework Xilie Xu Jingfeng Zhang Mohan S. Kankanhalli AAML 15 10 0 03 Oct 2023
Exploring the Robustness of Human Parsers Towards Common Corruptions Sanyi Zhang Xiaochun Cao Rui Wang Guohong Qi Jie Zhou 17 1 0 02 Sep 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting Qidong Huang Xiaoyi Dong Dongdong Chen Yinpeng Chen Lu Yuan Gang Hua Weiming Zhang Neng H. Yu AAML 11 9 0 20 Aug 2023
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? Prakash Chandra Chhipa Johan Rodahl Holmgren Kanjar De Rajkumar Saini Marcus Liwicki SSL OOD 13 6 0 31 Jul 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 18 8 0 24 Jul 2023
Downstream-agnostic Adversarial Examples Ziqi Zhou Shengshan Hu Rui-Qing Zhao Qian Wang L. Zhang Junhui Hou Hai Jin SILM AAML 16 24 0 23 Jul 2023
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification J. Wu Dit-Yan Yeung SILM 23 0 0 04 Jul 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning Hong Joo Lee Yonghyun Ro AAML 19 3 0 27 Jun 2023
Task-Robust Pre-Training for Worst-Case Downstream Adaptation Jianghui Wang Cheng Yang Xingyu Xie Cong Fang Zhouchen Lin OOD 19 0 0 21 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Minglei Yin Bing Liu Neil Zhenqiang Gong Xin Li AAML 9 1 0 11 Jun 2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations Dou Hu Yinan Bao Lingwei Wei Wei Zhou Song Hu 18 51 0 02 Jun 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 23 11 0 10 May 2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 27 10 0 30 Apr 2023
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training Tianjiao Li Lin Geng Foo Ping Hu Xindi Shang Hossein Rahmani Zehuan Yuan J. Liu 32 7 0 09 Apr 2023
Latent Feature Relation Consistency for Adversarial Robustness Xingbin Liu Huafeng Kuang Hong Liu Xianming Lin Yongjian Wu Rongrong Ji AAML 11 3 0 29 Mar 2023
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion Haomin Zhuang Yihua Zhang Sijia Liu DiffM 26 62 0 29 Mar 2023