Adversarial Feature

Adversarial features represent subtle manipulations of input data designed to fool machine learning models, particularly deep neural networks, into making incorrect predictions. Current research focuses on understanding the characteristics of these features, developing methods to generate them more efficiently (e.g., through disentangled feature spaces and hierarchical feature hiding), and creating robust defenses (e.g., multi-objective representation learning and anomaly detection). This research is crucial for improving the security and reliability of AI systems across diverse applications, from autonomous vehicles and medical image analysis to face recognition and keyless entry systems, where adversarial attacks pose significant risks.

Papers

November 1, 2024

Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
Jie Wang, Tingfa Xu, Lihe Ding, Jianan Li
Recognition Rate 3D Perception Common Corruption Point Cloud Recognition Adversarial Feature Adversarial Point Cloud

October 2, 2024

MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning
Sedjro Salomon Hotegni, Sebastian Peitz
Reinforcement Learning Adversarial Attack Adversarial Example Adversarial Robustness Adversarial Perturbation Multi Objective Adversarial Feature

June 5, 2024

DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain
Jun Liu, Jiantao Zhou, Jiandian Zeng, Jinyu Tian, Zheng Li
Adversarial Attack Adversarial Example Cross Domain Score Based Adversarial Feature Adversarial Capability

May 6, 2024

Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
Juanjuan Weng, Zhiming Luo, Shaozi Li
Adversarial Attack Adversarial Example Adversarial Sample Frequency Feature Dominant Low Frequency Adversarial Feature Feature Mixing

February 29, 2024

Developing a Taxonomy of Elements Adversarial to Autonomous Vehicles
Mohammadali Saffary, Nishan Inampudi, Joshua E. Siegel
Autonomous Vehicle Comprehensive Taxonomy Collision Scenario Adversarial Feature Corner Case Adversarial Event

February 9, 2024

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique
Unlabeled Anomaly Adversarial Patch Adversarial Noise Privacy Preserving Image Adversarial Patch Attack Adversarial Feature

January 16, 2024

Robust Localization of Key Fob Using Channel Impulse Response of Ultra Wide Band Sensors for Keyless Entry Systems
Abhiram Kolli, Filippo Casamassima, Horst Possegger, Horst Bischof
Neural Network Deep Learning Model Adversarial Example Impulse Response Robust Localization Secret Key Adversarial Feature

December 4, 2023

Adversarial Medical Image with Hierarchical Feature Hiding
Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou
Adversarial Example Traditional Adversarial Adversarial Watermarking Adversarial Feature

September 26, 2023

DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space
Liu Jun, Zhou Jiantao, Zeng Jiandian, Jinyu Tian
Adversarial Attack Adversarial Example Feature Space Black Box Attack Score Based Adversarial Feature Adversarial Capability

September 16, 2023

Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation
Lucas Fernando Alvarenga e Silva, Nicu Sebe, Jurandy Almeida
Convolutional Neural Network Domain Shift Open Set Domain Adaptation Adversarial Feature Class Accuracy

May 8, 2023

Privacy-preserving Adversarial Facial Features
Zhibo Wang, He Wang, Shuaifan Jin, Wenwen Zhang, Jiahui Hu, Yan Wang, Peng Sun, Wei Yuan, Kaixin Liu, Kui Ren
Privacy Protection Adversarial Feature Adversarial Face

February 25, 2023

Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation
Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang
Adversarial Attack Adversarial Noise Multi Organ Segmentation Adversarial Feature Adversarial Data Augmentation Adversarial Style Augmentation

October 13, 2022

Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
Shuai Jia, Bangjie Yin, Taiping Yao, Shouhong Ding, Chunhua Shen, Xiaokang Yang, Chao Ma
Adversarial Attack Face Recognition Adversarial Noise Rich Attribute Transferable Adversarial Attack Adversarial Feature Attribute Selection

July 11, 2022

Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
Zhun Zhong, Yuyang Zhao, Gim Hee Lee, Nicu Sebe
Adversarial Training Synthetic to Real Adversarial Image Adversarial Feature Adversarial Style Augmentation Urban Scene Segmentation

May 19, 2022

On Trace of PGD-Like Adversarial Attacks
Mo Zhou, Vishal M. Patel
Adversarial Attack Adversarial Example Fuzzy Trace Adversarial Feature

March 21, 2022

An Intermediate-level Attack Framework on The Basis of Linear Regression
Yiwen Guo, Qizhang Li, Wangmeng Zuo, Hao Chen
Adversarial Example Linear Regression Alternative Basis Adversarial Feature

January 30, 2022

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang
Graph Neural Network Adversarial Attack Adversarial Robustness State of the Art Robust Version Topological Learning Adversarial Feature DNN Robustness Meta )Stable GARNET System

Adversarial Feature

Papers

Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions

MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learning

DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain

Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability

Developing a Taxonomy of Elements Adversarial to Autonomous Vehicles

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks

Robust Localization of Key Fob Using Channel Impulse Response of Ultra Wide Band Sensors for Keyless Entry Systems

Adversarial Medical Image with Hierarchical Feature Hiding

DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space

Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation

Privacy-preserving Adversarial Facial Features

Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation

Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition

Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation

On Trace of PGD-Like Adversarial Attacks

An Intermediate-level Attack Framework on The Basis of Linear Regression

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks