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Exploring Frequency Adversarial Attacks for Face Forgery Detection

Exploring Frequency Adversarial Attacks for Face Forgery Detection

29 March 2022
Shuai Jia
Chao Ma
Taiping Yao
Bangjie Yin
Shouhong Ding
Xiaokang Yang
    AAML
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Papers citing "Exploring Frequency Adversarial Attacks for Face Forgery Detection"

38 / 38 papers shown
Title
Learning Real Facial Concepts for Independent Deepfake Detection
Learning Real Facial Concepts for Independent Deepfake Detection
Ming-Hui Liu
Harry Cheng
Tianyi Wang
Xin Luo
Xin-Shun Xu
41
0
0
07 May 2025
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
Jiahuan Long
Tingsong Jiang
Wen Yao
Shuai Jia
W. Zhang
Weien Zhou
Chao Ma
Xiaoqian Chen
AAML
VOT
56
0
0
12 Apr 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
Jin Li
Ziqiang He
Anwei Luo
Jian-Fang Hu
Zhong Wang
Xiangui Kang
DiffM
61
0
0
12 Mar 2025
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks
Jin Li
Zitong Yu
Ziqiang He
Zhong Wang
Xiangui Kang
AAML
77
0
0
15 Dec 2024
Deep Learning Technology for Face Forgery Detection: A Survey
Deep Learning Technology for Face Forgery Detection: A Survey
Lixia Ma
Puning Yang
Yuting Xu
Ziming Yang
Peipei Li
Huaibo Huang
40
1
0
22 Sep 2024
Active Fake: DeepFake Camouflage
Active Fake: DeepFake Camouflage
Pu Sun
Honggang Qi
Yuezun Li
PICV
35
0
0
05 Sep 2024
2D-Malafide: Adversarial Attacks Against Face Deepfake Detection Systems
2D-Malafide: Adversarial Attacks Against Face Deepfake Detection Systems
Chiara Galdi
Michele Panariello
Massimiliano Todisco
Nicholas W. D. Evans
AAML
21
0
0
26 Aug 2024
Frequency-aware Feature Fusion for Dense Image Prediction
Frequency-aware Feature Fusion for Dense Image Prediction
Linwei Chen
Ying Fu
Lin Gu
Chenggang Yan
Tatsuya Harada
Gao Huang
3DV
45
17
0
23 Aug 2024
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A
  Comprehensive Framework for Gradient Editing
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
29
0
0
22 Aug 2024
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
Yunfeng Diao
Na Zhai
Changtao Miao
Xun Yang
Meng Wang
Xun Yang
Meng Wang
AAML
39
1
0
30 Jul 2024
Exploring the Adversarial Robustness of CLIP for AI-generated Image
  Detection
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection
Vincenzo De Rosa
Fabrizio Guillaro
Giovanni Poggi
D. Cozzolino
L. Verdoliva
AAML
57
4
0
28 Jul 2024
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
Ping Liu
Qiqi Tao
Joey Tianyi Zhou
50
0
0
11 Jun 2024
PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset
PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset
Yang Hou
Haitao Fu
Chuankai Chen
Zida Li
Haoyu Zhang
Jianjun Zhao
24
3
0
14 May 2024
An Analysis of Recent Advances in Deepfake Image Detection in an
  Evolving Threat Landscape
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
Sifat Muhammad Abdullah
Aravind Cheruvu
Shravya Kanchi
Taejoong Chung
Peng Gao
Murtuza Jadliwala
Bimal Viswanath
AAML
29
11
0
24 Apr 2024
FreqBlender: Enhancing DeepFake Detection by Blending Frequency
  Knowledge
FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
Hanzhe Li
Yuezun Li
Jiaran Zhou
Bin Li
Junyu Dong
CVBM
28
8
0
22 Apr 2024
Counterfactual Explanations for Face Forgery Detection via Adversarial
  Removal of Artifacts
Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts
Yang Li
Songlin Yang
Wei Wang
Ziwen He
Bo Peng
Jing Dong
AAML
24
2
0
12 Apr 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown
  Adversarial Attacks
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
Lei Zhang
Yuhang Zhou
Yi Yang
Xinbo Gao
AAML
OOD
30
7
0
04 Apr 2024
Artifact Feature Purification for Cross-domain Detection of AI-generated
  Images
Artifact Feature Purification for Cross-domain Detection of AI-generated Images
Zheling Meng
Bo Peng
Jing Dong
Tieniu Tan
81
2
0
17 Mar 2024
Real is not True: Backdoor Attacks Against Deepfake Detection
Real is not True: Backdoor Attacks Against Deepfake Detection
Hong Sun
Ziqiang Li
Lei Liu
Bin Li
AAML
36
4
0
11 Mar 2024
Artwork Protection Against Neural Style Transfer Using Locally Adaptive
  Adversarial Color Attack
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack
Zhongliang Guo
Junhao Dong
Yifei Qian
Kaixuan Wang
Weiye Li
Ziheng Guo
Yuheng Wang
Yanli Li
Ognjen Arandjelović
Lei Fang
AAML
25
8
0
18 Jan 2024
Exploring Decision-based Black-box Attacks on Face Forgery Detection
Exploring Decision-based Black-box Attacks on Face Forgery Detection
Zhaoyu Chen
Bo-wen Li
Kaixun Jiang
Shuang Wu
Shouhong Ding
Wenqiang Zhang
AAML
CVBM
24
1
0
18 Oct 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake
  Detection
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection
Weijie Wang
Zhengyu Zhao
N. Sebe
Bruno Lepri
AAML
32
2
0
03 Sep 2023
Learning to Distill Global Representation for Sparse-View CT
Learning to Distill Global Representation for Sparse-View CT
Zilong Li
Chenglong Ma
Jie Chen
Junping Zhang
Hongming Shan
19
9
0
16 Aug 2023
Towards Generalizable Deepfake Detection by Primary Region
  Regularization
Towards Generalizable Deepfake Detection by Primary Region Regularization
Harry Cheng
Yangyang Guo
Tianyi Wang
Liqiang Nie
Mohan S. Kankanhalli
32
0
0
24 Jul 2023
Discrepancy-Guided Reconstruction Learning for Image Forgery Detection
Discrepancy-Guided Reconstruction Learning for Image Forgery Detection
Zenan Shi
Haipeng Chen
Long Chen
Dong Zhang
19
17
0
26 Apr 2023
Evaluating Adversarial Robustness on Document Image Classification
Evaluating Adversarial Robustness on Document Image Classification
Timothée Fronteau
Arnaud Paran
A. Shabou
AAML
17
2
0
24 Apr 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency
Evading DeepFake Detectors via Adversarial Statistical Consistency
Yang Hou
Qing-Wu Guo
Yihao Huang
Xiaofei Xie
L. Ma
Jianjun Zhao
AAML
26
47
0
23 Apr 2023
Frequency Regularization: Restricting Information Redundancy of
  Convolutional Neural Networks
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks
Chenqiu Zhao
Guanfang Dong
Shupei Zhang
Zijie Tan
Anup Basu
13
1
0
17 Apr 2023
Watch Out for the Confusing Faces: Detecting Face Swapping with the
  Probability Distribution of Face Identification Models
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models
Yuxuan Duan
Xuhong Zhang
Chuer Yu
Zonghui Wang
S. Ji
Wenzhi Chen
AAML
CVBM
11
0
0
23 Mar 2023
Imperceptible Adversarial Attack via Invertible Neural Networks
Imperceptible Adversarial Attack via Invertible Neural Networks
Zihan Chen
Zifan Wang
Junjie Huang
Wentao Zhao
Xiao Liu
Dejian Guan
AAML
28
20
0
28 Nov 2022
Deepfake Detection: A Comprehensive Study from the Reliability
  Perspective
Deepfake Detection: A Comprehensive Study from the Reliability Perspective
Tianyi Wang
Xin Liao
Kam-pui Chow
Xiaodong Lin
Yinglong Wang
34
16
0
20 Nov 2022
Digital and Physical Face Attacks: Reviewing and One Step Further
Digital and Physical Face Attacks: Reviewing and One Step Further
Chen Kong
Shiqi Wang
Haoliang Li
AAML
53
23
0
29 Sep 2022
Delving into Data: Effectively Substitute Training for Black-box Attack
Delving into Data: Effectively Substitute Training for Black-box Attack
Wenxuan Wang
Bangjie Yin
Taiping Yao
Li Zhang
Yanwei Fu
Shouhong Ding
Jilin Li
Feiyue Huang
Xiangyang Xue
AAML
60
63
0
26 Apr 2021
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in
  Frequency Domain
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
Honggu Liu
Xiaodan Li
Wenbo Zhou
YueFeng Chen
Yuan He
Hui Xue
Weiming Zhang
Nenghai Yu
CVBM
157
358
0
02 Mar 2021
Exploring Adversarial Fake Images on Face Manifold
Exploring Adversarial Fake Images on Face Manifold
Dongze Li
Wei Wang
Hongxing Fan
Jing Dong
AAML
33
42
0
09 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,344
0
12 Dec 2018
Recasting Residual-based Local Descriptors as Convolutional Neural
  Networks: an Application to Image Forgery Detection
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection
D. Cozzolino
Giovanni Poggi
L. Verdoliva
101
324
0
14 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
1