ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2107.02408
  4. Cited By
CoReD: Generalizing Fake Media Detection with Continual Representation
  using Distillation

CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation

6 July 2021
Minhan Kim
Shahroz Tariq
Simon S. Woo
    CLL
ArXivPDFHTML

Papers citing "CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation"

22 / 22 papers shown
Title
Chameleon: On the Scene Diversity and Domain Variety of AI-Generated Videos Detection
Meiyu Zeng
Xingming Liao
C. L. Philip Chen
Nankai Lin
Zhuowei Wang
Chong Chen
Aimin Yang
50
1
0
09 Mar 2025
UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints
UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints
Inzamamul Alam
Muhammad Shahid Muneer
Simon Woo
29
2
0
12 Sep 2024
Exploring the Impact of Moire Pattern on Deepfake Detectors
Exploring the Impact of Moire Pattern on Deepfake Detectors
Razaib Tariq
Shahroz Tariq
Simon S. Woo
26
0
0
15 Jul 2024
Continuous fake media detection: adapting deepfake detectors to new
  generative techniques
Continuous fake media detection: adapting deepfake detectors to new generative techniques
Francesco Tassone
Luca Maiano
Irene Amerini
35
4
0
12 Jun 2024
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
Ping Liu
Qiqi Tao
Joey Tianyi Zhou
50
0
0
11 Jun 2024
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors
  to New Generators Using Limited Data
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data
Aref Azizpour
Tai D. Nguyen
Manil Shrestha
Kaidi Xu
Edward Kim
Matthew C. Stamm
29
4
0
12 Apr 2024
Machine Learning in Digital Forensics: A Systematic Literature Review
Machine Learning in Digital Forensics: A Systematic Literature Review
Tahereh Nayerifard
Haleh Amintoosi
A. G. Bafghi
Ali Dehghantanha
AAML
15
6
0
08 Jun 2023
Building an Invisible Shield for Your Portrait against Deepfakes
Building an Invisible Shield for Your Portrait against Deepfakes
Jiazhi Guan
Tianshu Hu
Hang Zhou
Zhizhi Guo
Lirui Deng
Chengbin Quan
Errui Ding
Youjian Zhao
PICV
27
4
0
22 May 2023
Deepfake in the Metaverse: Security Implications for Virtual Gaming,
  Meetings, and Offices
Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices
Shahroz Tariq
A. Abuadbba
Kristen Moore
16
22
0
26 Mar 2023
Benchmarking Deepart Detection
Benchmarking Deepart Detection
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
15
9
0
28 Feb 2023
Why Do Facial Deepfake Detectors Fail?
Why Do Facial Deepfake Detectors Fail?
B. Le
Shahroz Tariq
A. Abuadbba
Kristen Moore
Simon S. Woo
AAML
17
11
0
25 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of
  Adapters
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
Yawen Cui
Zitong Yu
Rizhao Cai
Xuna Wang
Alex C. Kot
Li Liu
CLL
15
7
0
12 Feb 2023
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
208
0
26 Jul 2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and
  Essentials
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
Chuqiao Li
Zhiwu Huang
D. Paudel
Yabin Wang
Mohamad Shahbazi
Xiaopeng Hong
Luc Van Gool
15
48
0
11 May 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
30
8
0
27 Apr 2022
Deepfake Detection for Facial Images with Facemasks
D. Ko
Sangjun Lee
Jin-Yeol Park
Saebyeol Shin
Do-Soon Hong
Simon S. Woo
CVBM
8
7
0
23 Feb 2022
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
23
73
0
23 Sep 2021
Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal
  and Multimodal Detectors
Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectors
Hasam Khalid
Minhan Kim
Shahroz Tariq
Simon S. Woo
23
82
0
07 Sep 2021
FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
Hasam Khalid
Shahroz Tariq
Minha Kim
Simon S. Woo
29
183
0
11 Aug 2021
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
Bojia Zi
Minghao Chang
Jingjing Chen
Xingjun Ma
Yu-Gang Jiang
CVBM
80
372
0
05 Jan 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
135
1,043
0
27 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
264
10,344
0
12 Dec 2018
1