Bitton, Joanna

Code Llama: Open Foundation Models for Code

Rozière, B., Gehring, J., Gloeckle, F., Sootla, S., Gat, I., Tan, X. E., Adi, Y., Liu, J., Sauvestre, R., Remez, T., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 531

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

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

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

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