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Evading Deepfake-Image Detectors with White- and Black-Box Attacks

Evading Deepfake-Image Detectors with White- and Black-Box Attacks

1 April 2020
Nicholas Carlini
Hany Farid
    AAML
ArXiv (abs)PDFHTML

Papers citing "Evading Deepfake-Image Detectors with White- and Black-Box Attacks"

32 / 82 papers shown
Title
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint
  Ensembles
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint EnsemblesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ashish Hooda
Neal Mangaokar
Ryan Feng
Kassem Fawaz
S. Jha
Atul Prakash
141
15
0
11 Feb 2022
A Black-box NLP Classifier Attacker
A Black-box NLP Classifier Attacker
Yueyang Liu
Hunmin Lee
Yong Deng
AAML
59
6
0
22 Dec 2021
Watch Those Words: Video Falsification Detection Using Word-Conditioned
  Facial Motion
Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial MotionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
S. Agarwal
Liwen Hu
Evonne Ng
Trevor Darrell
Hao Li
Anna Rohrbach
AAML
83
23
0
21 Dec 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep
  Neural Network Systems
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
Bao Gia Doan
Minhui Xue
Shiqing Ma
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
235
65
0
19 Nov 2021
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Joel Frank
Lea Schonherr
DiffM
266
164
0
04 Nov 2021
ML4ML: Automated Invariance Testing for Machine Learning Models
ML4ML: Automated Invariance Testing for Machine Learning ModelsInternational Conference on Artificial Intelligence Testing (ICAIT), 2021
Zukang Liao
Pengfei Zhang
Min Chen
VLM
111
3
0
27 Sep 2021
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine
  Learning
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine LearningAdvanced Sciences and Technologies for Security Applications (ASTSA), 2021
S. Zobaed
Md Fazle Rabby
Md Istiaq Hossain
Ekram Hossain
Sazib Hasan
Asif Karim
Khan Md. Hasib
AAML
116
19
0
07 Sep 2021
Understanding the Security of Deepfake Detection
Understanding the Security of Deepfake Detection
Xiaoyu Cao
Neil Zhenqiang Gong
AAML
130
19
0
05 Jul 2021
Imperceptible Adversarial Examples for Fake Image Detection
Imperceptible Adversarial Examples for Fake Image DetectionIEEE International Conference on Multimedia and Expo (ICME), 2019
Quanyu Liao
Yuezun Li
Xiaoqiang Guo
Bin Kong
Yingxin Zhu
Jianlei Liu
Zhuqing Jiang
Qi Song
Xi Wu
AAML
184
34
0
03 Jun 2021
An Examination of Fairness of AI Models for Deepfake Detection
An Examination of Fairness of AI Models for Deepfake DetectionInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Loc Trinh
Wenshu Fan
CVBM
185
46
0
02 May 2021
Making Generated Images Hard To Spot: A Transferable Attack On Synthetic
  Image Detectors
Making Generated Images Hard To Spot: A Transferable Attack On Synthetic Image Detectors
Xinwei Zhao
Matthew C. Stamm
AAML
152
6
0
25 Apr 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities
  in Machine Learning Systems
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning SystemsInternational Conference on Machine Learning (ICML), 2021
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
228
12
0
18 Apr 2021
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes
MagDR: Mask-guided Detection and Reconstruction for Defending DeepfakesComputer Vision and Pattern Recognition (CVPR), 2021
Zhikai Chen
Lingxi Xie
Zehao Wu
Yong He
Bo Zhang
AAML
159
35
0
26 Mar 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Countering Malicious DeepFakes: Survey, Battleground, and HorizonInternational Journal of Computer Vision (IJCV), 2021
Felix Juefei Xu
Run Wang
Yihao Huang
Qing Guo
Lei Ma
Yang Liu
AAML
300
152
0
27 Feb 2021
Deepfakes Generation and Detection: State-of-the-art, open challenges,
  countermeasures, and way forward
Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward
Momina Masood
M. Nawaz
K. Malik
A. Javed
Aun Irtaza
AAML
437
382
0
25 Feb 2021
Transdisciplinary AI Observatory -- Retrospective Analyses and
  Future-Oriented Contradistinctions
Transdisciplinary AI Observatory -- Retrospective Analyses and Future-Oriented Contradistinctions
Nadisha-Marie Aliman
L. Kester
Roman V. Yampolskiy
166
15
0
26 Nov 2020
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
131
101
0
19 Nov 2020
A Survey of Machine Learning Techniques in Adversarial Image Forensics
A Survey of Machine Learning Techniques in Adversarial Image ForensicsComputers & security (CS), 2020
Ehsan Nowroozi
Ali Dehghantanha
R. Parizi
K. Choo
AAML
99
78
0
19 Oct 2020
Exposing GAN-generated Faces Using Inconsistent Corneal Specular
  Highlights
Exposing GAN-generated Faces Using Inconsistent Corneal Specular HighlightsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Shu Hu
Yuezun Li
Siwei Lyu
CVBMGAN
148
114
0
24 Sep 2020
FakeTagger: Robust Safeguards against DeepFake Dissemination via
  Provenance Tracking
FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance TrackingACM Multimedia (ACM MM), 2020
Run Wang
Felix Juefei Xu
Mengqing Luo
Yang Liu
Lina Wang
188
91
0
21 Sep 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance
  with Data Hiding
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data HidingIEEE Symposium on Security and Privacy (IEEE S&P), 2020
Sahar Abdelnabi
Mario Fritz
WaLM
176
179
0
07 Sep 2020
What makes fake images detectable? Understanding properties that
  generalize
What makes fake images detectable? Understanding properties that generalize
Lucy Chai
David Bau
Ser-Nam Lim
Phillip Isola
AAMLWIGM
140
373
0
24 Aug 2020
On Attribution of Deepfakes
On Attribution of Deepfakes
Baiwu Zhang
Jin Peng Zhou
Ilia Shumailov
Nicolas Papernot
WIGM
97
11
0
20 Aug 2020
Artificial Fingerprinting for Generative Models: Rooting Deepfake
  Attribution in Training Data
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training DataIEEE International Conference on Computer Vision (ICCV), 2020
Ning Yu
Vladislav Skripniuk
Sahar Abdelnabi
Mario Fritz
WIGM
296
256
0
16 Jul 2020
Defending against GAN-based Deepfake Attacks via Transformation-aware
  Adversarial Faces
Defending against GAN-based Deepfake Attacks via Transformation-aware Adversarial FacesIEEE International Joint Conference on Neural Network (IJCNN), 2020
Chaofei Yang
Lei Ding
Yiran Chen
Xue Yang
AAML
106
53
0
12 Jun 2020
Robust Face Verification via Disentangled Representations
Robust Face Verification via Disentangled Representations
Marius Arvinte
Ahmed H. Tewfik
S. Vishwanath
CVBM
75
1
0
05 Jun 2020
Adversarial Perturbations Fool Deepfake Detectors
Adversarial Perturbations Fool Deepfake DetectorsIEEE International Joint Conference on Neural Network (IJCNN), 2020
Apurva Gandhi
Shomik Jain
AAML
144
115
0
24 Mar 2020
Leveraging Frequency Analysis for Deep Fake Image Recognition
Leveraging Frequency Analysis for Deep Fake Image RecognitionInternational Conference on Machine Learning (ICML), 2020
Joel Frank
Thorsten Eisenhofer
Lea Schonherr
Asja Fischer
D. Kolossa
Thorsten Holz
316
686
0
19 Mar 2020
Media Forensics and DeepFakes: an overview
Media Forensics and DeepFakes: an overviewIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2020
L. Verdoliva
208
637
0
18 Jan 2020
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
DeepFakes and Beyond: A Survey of Face Manipulation and Fake DetectionInformation Fusion (Inf. Fusion), 2020
Ruben Tolosana
R. Vera-Rodríguez
Julian Fierrez
Aythami Morales
J. Ortega-Garcia
3DPCCVBM
226
887
0
01 Jan 2020
SpoC: Spoofing Camera Fingerprints
SpoC: Spoofing Camera Fingerprints
D. Cozzolino
Justus Thies
Andreas Rossler
Matthias Nießner
L. Verdoliva
156
40
0
27 Nov 2019
Deep Learning for Deepfakes Creation and Detection: A Survey
Deep Learning for Deepfakes Creation and Detection: A SurveyComputer Vision and Image Understanding (CVIU), 2019
Thanh Thi Nguyen
Quoc Viet Hung Nguyen
Dung Nguyen
D. Nguyen
Thien Huynh-The
S. Nahavandi
Thanh Tam Nguyen
Quoc-Viet Pham
Cu Nguyen
237
510
0
25 Sep 2019
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