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Adversarial Perturbations Fool Deepfake Detectors

Adversarial Perturbations Fool Deepfake Detectors

24 March 2020
Apurva Gandhi
Shomik Jain
    AAML
ArXivPDFHTML

Papers citing "Adversarial Perturbations Fool Deepfake Detectors"

20 / 20 papers shown
Title
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Hong-Hanh Nguyen-Le
Van-Tuan Tran
Dinh-Thuc Nguyen
Nhien-An Le-Khac
AAML
113
1
0
26 Nov 2024
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery
  Detection
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection
Weihua Liu
Lin Li
Chaochao Lin
Said Boumaraf
CVBM
36
0
0
08 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
33
18
0
03 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
41
2
0
03 Sep 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency
Evading DeepFake Detectors via Adversarial Statistical Consistency
Yang Hou
Qing Guo
Yihao Huang
Xiaofei Xie
Lei Ma
Jianjun Zhao
AAML
34
48
0
23 Apr 2023
Fighting Malicious Media Data: A Survey on Tampering Detection and
  Deepfake Detection
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection
Junke Wang
Zhenxin Li
Chao Zhang
Jingjing Chen
Zuxuan Wu
Larry S. Davis
Yueping Jiang
AAML
40
5
0
12 Dec 2022
Deepfake Text Detection: Limitations and Opportunities
Deepfake Text Detection: Limitations and Opportunities
Jiameng Pu
Zain Sarwar
Sifat Muhammad Abdullah
A. Rehman
Yoonjin Kim
P. Bhattacharya
M. Javed
Bimal Viswanath
AAML
24
54
0
17 Oct 2022
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision
  Navigation
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
Chengyang Ying
You Qiaoben
Xinning Zhou
Hang Su
Wenbo Ding
Jianyong Ai
AAML
32
11
0
12 Jun 2022
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and
  Deploying in the Wild
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spyridon Baxevanakis
Giorgos Kordopatis-Zilos
Panagiotis Galopoulos
Lazaros Apostolidis
Killian Levacher
Ipek B. Schlicht
Denis Teyssou
I. Kompatsiaris
Symeon Papadopoulos
44
8
0
27 Apr 2022
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and
  Countering Deepfakes
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes
Paarth Neekhara
Shehzeen Samarah Hussain
Xinqiao Zhang
Ke Huang
Julian McAuley
F. Koushanfar
AAML
28
21
0
05 Apr 2022
Exploring Frequency Adversarial Attacks for Face Forgery Detection
Exploring Frequency Adversarial Attacks for Face Forgery Detection
Shuai Jia
Chao Ma
Taiping Yao
Bangjie Yin
Shouhong Ding
Xiaokang Yang
AAML
31
62
0
29 Mar 2022
Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on
  Synthetic Images
Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on Synthetic Images
Luca Guarnera
O. Giudice
Sebastiano Battiato
30
8
0
18 Mar 2022
GAN-generated Faces Detection: A Survey and New Perspectives
GAN-generated Faces Detection: A Survey and New Perspectives
Xin Wang
Hui Guo
Shu Hu
Ming-Ching Chang
Siwei Lyu
CVBM
24
63
0
15 Feb 2022
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint
  Ensembles
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
Ashish Hooda
Neal Mangaokar
Ryan Feng
Kassem Fawaz
S. Jha
Atul Prakash
32
11
0
11 Feb 2022
Imperceptible Adversarial Examples for Fake Image Detection
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao
Yuezun Li
Xiaoqiang Guo
Bin Kong
Yingxin Zhu
Jianlei Liu
Zhuqing Jiang
Qi Song
Xi Wu
AAML
100
33
0
03 Jun 2021
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes
Zhikai Chen
Lingxi Xie
Shanmin Pang
Yong He
Bo Zhang
AAML
36
32
0
26 Mar 2021
KoDF: A Large-scale Korean DeepFake Detection Dataset
KoDF: A Large-scale Korean DeepFake Detection Dataset
Patrick Kwon
J. You
Gyuhyeon Nam
Sungwoo Park
Gyeongsu Chae
29
100
0
18 Mar 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei Xu
Run Wang
Yihao Huang
Qing Guo
Lei Ma
Yang Liu
AAML
33
132
0
27 Feb 2021
Adversarial Threats to DeepFake Detection: A Practical Perspective
Adversarial Threats to DeepFake Detection: A Practical Perspective
Paarth Neekhara
Brian Dolhansky
Joanna Bitton
Cristian Canton Ferrer
AAML
13
79
0
19 Nov 2020
Deep Learning for Deepfakes Creation and Detection: A Survey
Deep Learning for Deepfakes Creation and Detection: A Survey
Thanh Thi Nguyen
Quoc Viet Hung Nguyen
Dung Nguyen
D. Nguyen
Thien Huynh-The
S. Nahavandi
Thanh Tam Nguyen
Viet Quoc Pham
Cu Nguyen
31
433
0
25 Sep 2019
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