Dolhansky, Brian
Meta (United States)
6 papers on CoChat
Most cited papers
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The deepfake detection challenge (dfdc) dataset
Dolhansky, B., Bitton, J., Pflaum, B., Lu, J., Howes, R., Wang, M., & Ferrer, C. C. (2020) · arXiv
Digital Media Forensic DetectionFace recognition and analysis
Cited by 427
- Verified
The Deepfake Detection Challenge (DFDC) Preview Dataset
Dolhansky, B., Howes, R., Pflaum, B., Baram, N., & Ferrer, C. C. (2019) · arXiv
Digital Media Forensic DetectionFace recognition and analysis
Cited by 413
- Verified
Adversarial Threats to DeepFake Detection: A Practical Perspective
Neekhara, P., Dolhansky, B., Bitton, J., & Ferrer, C. C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 117
- Verified
Towards Measuring Fairness in AI: The Casual Conversations Dataset
Hazirbas, C., Bitton, J., Dolhansky, B., Pan, J., Gordo, A., & Ferrer, C. C. (2022) · IEEE Transactions on Biometrics, Behavior, and Identity Science
Face recognition and analysisEthics and Social Impacts of AI
Cited by 79
- Verified
Casual Conversations: A dataset for measuring fairness in AI
Hazirbas, C., Bitton, J., Dolhansky, B., Pan, J., Gordo, A., & Ferrer, C. C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Face recognition and analysisEthics and Social Impacts of AI
Cited by 15
- Verified
Adversarial collision attacks on image hashing functions
Dolhansky, B., & Ferrer, C. C. (2020) · arXiv
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 13
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