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Sohail Ahmed Khan
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2020 – today
- 2024
- [j3]Sohail Ahmed Khan
, Duc-Tien Dang-Nguyen
Deepfake Detection: Analyzing Model Generalization Across Architectures, Datasets, and Pre-Training Paradigms. IEEE Access 12: 1880-1908 (2024) - [j2]Laurence Dierickx
A data-centric approach for ethical and trustworthy AI in journalism. Ethics Inf. Technol. 26(4): 64 (2024) - [c8]Ayoub El Majjodi, Sohail Ahmed Khan, Alain D. Starke, Mehdi Elahi, Christoph Trattner:
Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems. HealthRecSys@RecSys 2024: 55-62 - [c7]Sohail Ahmed Khan
CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection. ICMR 2024: 1006-1015 - [c6]Duc-Tien Dang-Nguyen
Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024. ICMR 2024: 1275-1281 - [i11]Sohail Ahmed Khan, Duc-Tien Dang-Nguyen:
CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection. CoRR abs/2402.12927 (2024) - 2023
- [j1]Sohail Ahmed Khan
Visual User-Generated Content Verification in Journalism: An Overview. IEEE Access 11: 6748-6769 (2023) - [c5]Eivind Moholdt
Detecting Out-of-Context Image-Caption Pair in News: A Counter-Intuitive Method. CBMI 2023: 203-209 - [c4]Ghazaal Sheikhi, Samia Touileb, Sohail Ahmed Khan:
Automated Claim Detection for Fact-checking: A Case Study using Norwegian Pre-trained Language Models. NoDaLiDa 2023: 1-9 - [i10]Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Cise Midoglu, Michael Riegler, Pål Halvorsen, Minh-Son Dao:
Grand Challenge On Detecting Cheapfakes. CoRR abs/2304.01328 (2023) - [i9]Sohail Ahmed Khan, Duc-Tien Dang-Nguyen:
Deepfake Detection: A Comparative Analysis. CoRR abs/2308.03471 (2023) - [i8]Eivind Moholdt, Sohail Ahmed Khan, Duc-Tien Dang-Nguyen:
Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method. CoRR abs/2308.16611 (2023) - [i7]Sohail Ahmed Khan, Jan Gunnar Furuly, Henrik Brattli Vold, Rano Tahseen, Duc-Tien Dang-Nguyen:
Online Multimedia Verification with Computational Tools and OSINT: Russia-Ukraine Conflict Case Studies. CoRR abs/2310.01978 (2023) - 2022
- [c3]Sohail Ahmed Khan
Hybrid Transformer Network for Deepfake Detection. CBMI 2022: 8-14 - [i6]Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Michael Riegler, Pål Halvorsen, Chris Bregler, Balu Adsumilli:
ACM Multimedia Grand Challenge on Detecting Cheapfakes. CoRR abs/2207.14534 (2022) - [i5]Sohail Ahmed Khan, Duc-Tien Dang-Nguyen:
Hybrid Transformer Network for Deepfake Detection. CoRR abs/2208.05820 (2022) - 2021
- [c2]Sohail Ahmed Khan, Hang Dai:
Video Transformer for Deepfake Detection with Incremental Learning. ACM Multimedia 2021: 1821-1828 - [i4]Sohail Ahmed Khan, Wasiq Khan, Abir Hussain:
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis). CoRR abs/2101.02552 (2021) - [i3]Sohail Ahmed Khan, Alessandro Artusi, Hang Dai:
Adversarially robust deepfake media detection using fused convolutional neural network predictions. CoRR abs/2102.05950 (2021) - [i2]Sohail Ahmed Khan
Video Transformer for Deepfake Detection with Incremental Learning. CoRR abs/2108.05307 (2021) - 2020
- [c1]Sohail Ahmed Khan
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis). ICIC (3) 2020: 301-313 - [i1]Wasiq Khan, Abir Hussain, Sohail Ahmed Khan, Mohammed Al-Jumaily, Raheel Nawaz:
Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching. CoRR abs/2009.12923 (2020)
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