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ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using
  Prototype Exploration and Refinement

ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement

20 September 2023
M. D. L. D. Bouter
J. Pardo
Z. Geradts
M. Worring
ArXivPDFHTML

Papers citing "ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement"

5 / 5 papers shown
Title
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection
Alvaro Lopez Pellcier
Yi Li
Plamen Angelov
DiffM
34
9
0
22 Jun 2024
This Looks Better than That: Better Interpretable Models with ProtoPNeXt
This Looks Better than That: Better Interpretable Models with ProtoPNeXt
Frank Willard
Luke Moffett
Emmanuel Mokel
Jon Donnelly
Stark Guo
Julia Yang
Giyoung Kim
Alina Jade Barnett
Cynthia Rudin
42
4
0
20 Jun 2024
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in
  Cyber Forensics
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics
Shahid Alam
Zeynep Altıparmak
18
1
0
04 Feb 2024
An Examination of Fairness of AI Models for Deepfake Detection
An Examination of Fairness of AI Models for Deepfake Detection
Loc Trinh
Yong-Jin Liu
CVBM
77
35
0
02 May 2021
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
195
3,534
0
20 Aug 2019
1