Adversarial Threats to DeepFake Detection: A Practical Perspective

Adversarial Threats to DeepFake Detection: A Practical Perspective

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Papers citing "Adversarial Threats to DeepFake Detection: A Practical Perspective"

43 / 43 papers shown
Title
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI SystemsAi & Society (AS), 2022
204
11
0
15 Dec 2022
Learning to Immunize Images for Tamper Localization and Self-Recovery
Learning to Immunize Images for Tamper Localization and Self-RecoveryIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
120
21
0
28 Oct 2022
Digital and Physical Face Attacks: Reviewing and One Step Further
Digital and Physical Face Attacks: Reviewing and One Step FurtherAPSIPA Transactions on Signal and Information Processing (TASIP), 2022
154
33
0
29 Sep 2022
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
133
15
0
11 Feb 2022
KoDF: A Large-scale Korean DeepFake Detection Dataset
KoDF: A Large-scale Korean DeepFake Detection DatasetIEEE International Conference on Computer Vision (ICCV), 2021
207
126
0
18 Mar 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Countering Malicious DeepFakes: Survey, Battleground, and HorizonInternational Journal of Computer Vision (IJCV), 2021
256
152
0
27 Feb 2021

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