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Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes

Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes

28 June 2020
Loc Trinh
Michael Tsang
Sirisha Rambhatla
Yan Liu
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Papers citing "Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes"

7 / 7 papers shown
Title
Face Forensics in the Wild
Face Forensics in the Wild
Tianfei Zhou
Wenguan Wang
Zhiyuan Liang
Jianbing Shen
CVBM
42
118
0
30 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
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li
Xin Yang
Pu Sun
H. Qi
Siwei Lyu
149
1,047
0
27 Sep 2019
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
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,838
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
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