Joanna Bitton

According to our database, Joanna Bitton authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FERRET: Framework for Expansion Reliant Red Teaming.

Ninareh Mehrabi, Vitor Albiero, Maya Pavlova, Joanna Bitton

CoRR, March, 2026

2025

Automated Red Teaming with GOAT: the Generative Offensive Agent Tester.

Maya Pavlova, Erik Brinkman, Krithika Iyer, Vítor Albiero, Joanna Bitton, Hailey Nguyen, Cristian Canton Ferrer, Ivan Evtimov, Aaron Grattafiori

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

2023

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, Joanna Bitton, Manish Bhatt, Cristian Canton-Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve

CoRR, 2023

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

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

AugLy: Data Augmentations for Robustness.

Zoe Papakipos, Joanna Bitton

CoRR, 2022

Adversarial Text Normalization.

Joanna Bitton, Maya Pavlova, Ivan Evtimov

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

AugLy: Data Augmentations for Adversarial Robustness.

Zoë Papakipos, Joanna Bitton

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Adversarial Threats to DeepFake Detection: A Practical Perspective.

Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton-Ferrer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Casual Conversations: A Dataset for Measuring Fairness in AI.

Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton-Ferrer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

The DeepFake Detection Challenge Dataset.

Brian Dolhansky, Joanna Bitton, Ben Pflaum, Jikuo Lu, Russ Howes, Menglin Wang, Cristian Canton-Ferrer

CoRR, 2020