Adaptive Adversarial Training

Adaptive adversarial training aims to enhance the robustness of machine learning models, particularly deep neural networks, against adversarial attacks by dynamically adjusting the training process in response to these attacks. Current research focuses on applying this technique to various model architectures, including vision transformers and generative adversarial networks (GANs), and across diverse applications such as medical image analysis and natural language processing, often incorporating techniques like multi-task learning and feature decoupling to improve performance. This approach is significant because it addresses the critical challenge of maintaining model accuracy while improving resilience to malicious inputs, leading to more reliable and trustworthy AI systems in various fields.

Papers

December 10, 2024

Adaptive Epsilon Adversarial Training for Robust Gravitational Wave Parameter Estimation Using Normalizing Flows
Yiqian Yang, Xihua Zhu, Fan Zhang
Adversarial Training Normalizing Flow Parameter Estimation Gravitational Wave Adaptive Method Adaptive Adversarial Training Projected Gradient Descent Attack

June 25, 2024

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection
Peng Huang, Shu Hu, Bo Peng, Jiashu Zhang, Xi Wu, Xin Wang
Medical Image Classification Feature Decoupling Adversarial Evaluation Novel Deep Learning Framework Non Alcoholic Fatty Liver Disease Adaptive Adversarial Training

May 31, 2024

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu
Adversarial Training Retrieval Augmented Generation Retrieval Augmented Language Model Noise Robustness Audio Text Retrieval Adaptive Adversarial Training

March 19, 2024

ADAPT to Robustify Prompt Tuning Vision Transformers
Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer Dy
Adversarial Attack Vision Transformer Adversarial Training Style PROMPT Adaptive Adversarial Training Aligned Action Prompt

February 25, 2024

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
Zhiying Jiang, Xingyuan Li, Jinyuan Liu, Xin Fan, Risheng Liu
Adversarial Attack Adversarial Perturbation Adaptive Learning Attack Performance Image Stitching Adaptive Adversarial Training

January 27, 2024

Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation
Yiling Xie, Xiaoming Huo
Adversarial Attack Adversarial Training Asymptotic Behavior Adaptive Adversarial Training Adversarial Estimator

September 5, 2023

Adaptive Adversarial Training Does Not Increase Recourse Costs
Ian Hardy, Jayanth Yetukuri, Yang Liu
Adversarial Attack Adversarial Vulnerability Robust Recourse Adaptive Adversarial Training

November 30, 2022

Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory
Jing Tang, Bo Tao, Zeyu Gong, Zhouping Yin
Generative Adversarial Network Strong Generalization Multi Scale Theoretical Understanding Adaptive Adversarial Training

October 4, 2022

Strength-Adaptive Adversarial Training
Chaojian Yu, Dawei Zhou, Li Shen, Jun Yu, Bo Han, Mingming Gong, Nannan Wang, Tongliang Liu
Adversarial Training Adversarial Robustness Adversarial Loss Adversarial Constraint Adaptive Adversarial Training

June 2, 2022

Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection
Linhai Ma, Liang Liang
Deep Neural Network Adversarial Attack Data Detection Adversarial Training Adversarial Robustness Medical Image Segmentation Adversarial Noise Adaptive Adversarial Training

December 29, 2021

Overcoming Mode Collapse with Adaptive Multi Adversarial Training
Karttikeya Mangalam, Rohin Garg
Generative Model Generative Adversarial Network GAN Based Mode Collapse Adaptive Adversarial Training

December 1, 2021

Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness
Jia-Li Yin, Lehui Xie, Wanqing Zhu, Ximeng Liu, Bo-Hao Chen
Adversarial Attack Adversarial Example Adversarial Training Adversarial Robustness UNO Push Adaptive Adversarial Training

Adaptive Adversarial Training

Papers

Adaptive Epsilon Adversarial Training for Robust Gravitational Wave Parameter Estimation Using Normalizing Flows

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training

ADAPT to Robustify Prompt Tuning Vision Transformers

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks

Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation

Adaptive Adversarial Training Does Not Increase Recourse Costs

Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory

Strength-Adaptive Adversarial Training

Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection

Overcoming Mode Collapse with Adaptive Multi Adversarial Training

Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness