Adversarial Face

Adversarial face research focuses on creating subtly altered images that fool facial recognition systems, primarily to protect privacy or evaluate system robustness. Current research explores generating these "adversarial faces" using generative adversarial networks (GANs), diffusion models, and other techniques, often focusing on improving the imperceptibility of the alterations and the transferability of attacks across different recognition models. This field is significant because it highlights vulnerabilities in facial recognition technology, impacting both the development of more robust systems and the ongoing debate surrounding privacy implications of widespread facial recognition deployment.

Papers

July 18, 2024

Transferable Adversarial Facial Images for Privacy Protection
Minghui Li, Jiangxiong Wang, Hao Zhang, Ziqi Zhou, Shengshan Hu, Xiaobing Pei
Privacy Protection Transferable Adversarial Attack Deep Face Recognition Adversarial Face

May 27, 2024

Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
Fengfan Zhou, Qianyu Zhou, Xiangtai Li, Xuequan Lu, Lizhuang Ma, Hefei Ling
Adversarial Attack Adversarial Example Face Recognition Face Anti Spoofing Adversarial Face

February 26, 2024

Improving the JPEG-resistance of Adversarial Attacks on Face Recognition by Interpolation Smoothing
Kefu Guo, Fengfan Zhou, Hefei Ling, Ping Li, Hui Liu
Adversarial Attack Adversarial Example Adversarial Perturbation Face Recognition Joint Photographic Expert Group Adversarial Face

December 18, 2023

Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model
Decheng Liu, Xijun Wang, Chunlei Peng, Nannan Wang, Ruiming Hu, Xinbo Gao
Adversarial Attack Image Generation Latent Diffusion Model Imperceptible Adversarial Perturbation Diffusion Based Framework Adversarial Face Realistic Adversarial

November 29, 2023

NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields
Xiaoliang Liu, Furao Shen, Feng Han, Jian Zhao, Changhai Nie
Adversarial Attack Neural Radiance Field Face Recognition Task Transferability Adversarial Patch UV Mapping Adversarial Face

September 4, 2023

Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration
Fengfan Zhou, Hefei Ling, Yuxuan Shi, Jiazhong Chen, Ping Li
Adversarial Attack Adversarial Perturbation Face Recognition Task Transferability Visual Quality Face Restoration Restoration Network Adversarial Face

September 3, 2023

Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection
Weijie Wang, Zhengyu Zhao, Nicu Sebe, Bruno Lepri
Adversarial Attack Deepfake Detection Deep Fake New Attack Deepfake Detector Fake Speech Adversarial Face

June 22, 2023

Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces
Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar
StyleGAN Latent Synthetic Face Forensic Application Adversarial Face Adversarial Code Forensic Facial

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

April 22, 2023

Detecting Adversarial Faces Using Only Real Face Self-Perturbations
Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu
Adversarial Attack Feature Perturbation Adversarial Face Face Detector

January 28, 2023

Semantic Adversarial Attacks on Face Recognition through Significant Attributes
Yasmeen M. Khedr, Yifeng Xiong, Kun He
Adversarial Attack Face Recognition Rich Attribute Semantic Adversarial Adversarial Face

October 28, 2022

Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation
Fengfan Zhou, Hefei Ling, Yuxuan Shi, Jiazhong Chen, Zongyi Li, Ping Li
Adversarial Attack Adversarial Example Face Recognition Task Transferability Adversarial Face Perturbation Augmentation

May 28, 2022

Enhancing Quality of Pose-varied Face Restoration with Local Weak Feature Sensing and GAN Prior
Kai Hu, Yu Liu, Renhe Liu, Wei Lu, Gang Yu, Bin Fu
Generative Adversarial Network Weakly Supervised Face Restoration Blind Face Restoration Facial Prior Adversarial Face Enhanced Quality

April 18, 2022

Heavy Rain Face Image Restoration: Integrating Physical Degradation Model and Facial Component Guided Adversarial Learning
Chang-Hwan Son, Da-Hee Jeong
Face Image Face Restoration Degradation Model Low Resolution Face Adversarial Face

March 7, 2022

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer
Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu
Generative Adversarial Network Privacy Protection Adversarial Mask Makeup Transfer Adversarial Face Adversarial Makeup

Adversarial Face

Papers

Transferable Adversarial Facial Images for Privacy Protection

Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models

Improving the JPEG-resistance of Adversarial Attacks on Face Recognition by Interpolation Smoothing

Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model

NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields

Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration

Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection

Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces

Privacy-preserving Adversarial Facial Features

Detecting Adversarial Faces Using Only Real Face Self-Perturbations

Semantic Adversarial Attacks on Face Recognition through Significant Attributes

Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation

Enhancing Quality of Pose-varied Face Restoration with Local Weak Feature Sensing and GAN Prior

Heavy Rain Face Image Restoration: Integrating Physical Degradation Model and Facial Component Guided Adversarial Learning

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer