The DeepFake Detection Challenge Dataset. - Brian Dolhansky; Joanna Bitton; Ben Pflaum; Jikuo Lu; Russ Howes; Menglin Wang; Cristian Canton-Ferrer (CoRR, 2020)

Casual Conversations: A Dataset for Measuring Fairness in AI. - Caner Hazirbas; Joanna Bitton; Brian Dolhansky; Jacqueline Pan; Albert Gordo; Cristian Canton-Ferrer (CVPR Workshops, 2021)

Adversarial Threats to DeepFake Detection: A Practical Perspective. - Paarth Neekhara; Brian Dolhansky; Joanna Bitton; Cristian Canton-Ferrer (CVPR Workshops, 2021)

AugLy: Data Augmentations for Adversarial Robustness. - Zoë Papakipos; Joanna Bitton (CVPR Workshops, 2022)

Adversarial Text Normalization. - Joanna Bitton; Maya Pavlova; Ivan Evtimov (NAACL-HLT (Industry Papers), 2022)

AugLy: Data Augmentations for Robustness. - Zoe Papakipos; Joanna Bitton (CoRR, 2022)

Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks. - Shehzeen Hussain; Paarth Neekhara; Brian Dolhansky; Joanna Bitton; Cristian Canton Ferrer; Julian J. McAuley; Farinaz Koushanfar (DTRAP, 2022)

Towards Measuring Fairness in AI: The Casual Conversations Dataset. - Caner Hazirbas; Joanna Bitton; Brian Dolhansky; Jacqueline Pan; Albert Gordo; Cristian Canton-Ferrer (IEEE Trans. Biom. Behav. Identity Sci., 2022)

Code Llama: Open Foundation Models for Code. - Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Sten Sootla; Itai Gat; Xiaoqing Ellen Tan; Yossi Adi; Jingyu Liu; Tal Remez; Jérémy Rapin; Artyom Kozhevnikov; Ivan Evtimov; et al. (CoRR, 2023)

The Llama 3 Herd of Models. - Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Ahmad Al-Dahle; Aiesha Letman; Akhil Mathur; Alan Schelten; Amy Yang; Angela Fan; Anirudh Goyal; Anthony Hartshorn; et al. (CoRR, 2024)

Automated Red Teaming with GOAT: the Generative Offensive Agent Tester. - Maya Pavlova; Erik Brinkman; Krithika Iyer; Vitor Albiero; Joanna Bitton; Hailey Nguyen; Joe Li; Cristian Canton-Ferrer; Ivan Evtimov; Aaron Grattafiori (CoRR, 2024)