Adversarial Contrastive

Adversarial contrastive learning combines contrastive learning's self-supervised approach to representation learning with adversarial training's focus on robustness. Current research emphasizes applications across diverse domains, including image classification, spatial-temporal graph learning, and natural language processing, often employing variations of transformer-based models and adapting the technique for federated learning scenarios. This approach aims to improve the quality and robustness of learned representations, particularly in situations with limited labeled data or noisy/biased datasets, leading to more accurate and fairer models for various applications.

Papers

August 16, 2024

Unsupervised Transfer Learning via Adversarial Contrastive Training
Chenguang Duan, Yuling Jiao, Huazhen Lin, Wensen Ma, Jerry Zhijian Yang
Data Augmentation Transfer Learning Self Supervised Learning Method Downstream Classification Adversarial Contrastive

June 19, 2023

Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siuming Yiu, Ruihua Han
Temporal Graph Learning Spatio Temporal Prediction Adversarial Contrastive

July 22, 2022

Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon
Adversarial Training Adversarial Robustness Robust Representation Robust Representation Learning Adversarial Contrastive Learning Adversarial Contrastive

June 7, 2022

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie
Fair Machine Learning Model Fairness Fair Representation Fairness Aware FAIR Federated Learning Adversarial Contrastive

May 26, 2022

BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
Zhenting Wang, Juan Zhai, Shiqing Ma
Deep Neural Network Adversarial Attack Trojan Attack Digital STEALTH Metric Image Quantization Adversarial Contrastive

November 26, 2021

Simple Contrastive Representation Adversarial Learning for NLP Tasks
Deshui Miao, Jiaqi Zhang, Wenbo Xie, Jian Song, Xin Li, Lijuan Jia, Ning Guo
Contrastive Learning Adversarial Example Adversarial Training Contrastive Loss NLP Task Adversarial Contrastive Learning Adversarial Contrastive