Adversarial Texture

Adversarial textures are designed patterns that deceive computer vision systems, primarily object detectors and face recognition systems, by causing misclassification or evasion. Current research focuses on generating realistic-looking, multi-view robust adversarial textures using techniques like differentiable rendering, gradient-based optimization, and generative adversarial networks, often incorporating constraints for realism and physical printability. This field is significant because it reveals vulnerabilities in AI systems, particularly those used in autonomous driving and security applications, highlighting the need for more robust and reliable algorithms. The development of effective adversarial textures also drives advancements in image generation, 3D modeling, and the understanding of deep learning model limitations.

Papers

October 28, 2024

TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors
Adonisz Dimitriu, Tamás Michaletzky, Viktor Remeli
Adversarial Method State of the Art Detector Tractor Trailer Vehicle Adversarial Pattern TaCo MatAtlas Cendol Adversarial CAmouflage Adversarial Texture

July 9, 2024

Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization
Donghua Wang, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen
Adversarial Attack Object Detector Optimal Layout Adversarial Texture

May 19, 2024

Searching Realistic-Looking Adversarial Objects For Autonomous Driving Systems
Shengxiang Sun, Shenzhe Zhu
Adversarial Attack Autonomous Driving Vision Language Model Search Query Adversarial Texture Adversarial Object

March 26, 2024

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
Junhao Zheng, Chenhao Lin, Jiahao Sun, Zhengyu Zhao, Qian Li, Chao Shen
Adversarial Attack Autonomous Driving Monocular Depth Estimation Adversarial Patch Adversarial Texture

March 19, 2024

Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
Yuxi Mi, Zhizhou Zhong, Yuge Huang, Jiazhen Ji, Jianqing Xu, Jun Wang, Shaoming Wang, Shouhong Ding, Shuigeng Zhou
Face Recognition Face Image Adversarial Texture Privacy Preserving Face Image Protection

February 24, 2024

RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation
Jiawei Zhou, Linye Lyu, Daojing He, Yu Li
Adversarial Attack Robust Version Adversarial CAmouflage Adversarial Texture Camouflage Generation

December 18, 2023

Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering
Kim Youwang, Tae-Hyun Oh, Gerard Pons-Moll
Critical Synthesis Texture Synthesis Based Rendering High Fidelity Texture Texture Map Adversarial Texture

October 18, 2023

REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes
Matthew Hull, Zijie J. Wang, Duen Horng Chau
Adversarial Attack Arbitrary Object Real World Scene Adversarial Texture Adversarial Object

July 4, 2023

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu
3D Modeling Multiple Realizability Adversarial Texture Adversarial Object Adversarial Clothes

June 25, 2023

A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing
Chih-Jung Chang, Yaw-Chern Lee, Shih-Hsuan Yao, Min-Hung Chen, Chien-Yi Wang, Shang-Hong Lai, Trista Pei-Chun Chen
Glance Annotation Face Anti Spoofing Temporal Dynamic Facial Landmark Presentation Attack Geometric Learning Face Recognition System Adversarial Texture

March 28, 2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu
Adversarial Attack Adversarial Robustness Face Recognition Biometric Identification Adversarial Texture

March 3, 2023

AdvART: Adversarial Art for Camouflaged Object Detection Attacks
Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani
Adversarial Attack Generative Adversarial Network Adversarial Learning Adversarial Patch Image Patch GAN Based Adversarial Texture

February 19, 2023

X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
Adversarial Attack Adversarial Datasets Adversarial Texture Adversarial Object Item Detection

July 28, 2022

Initialization and Alignment for Adversarial Texture Optimization
Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing
Alignment Problem New Initialization Image Alignment Texture Generation Adversarial Texture

March 7, 2022

Adversarial Texture for Fooling Person Detectors in the Physical World
Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun, Bo Zhang, Xiaolin Hu
Adversarial Example Adversarial Patch Physical World Generative Attack Physical Adversarial Adversarial Texture Person Detector