187 results for "adversarial"
Publication
November 20, 2024
Jianfeng Chi, Ujjwal Karn, Hongyuan Zhan, Eric Smith, Javier Rando, Yiming Zhang, Kate Plawiak, Zacharie Delpierre Coudert, Kartikeya Upasani, Mahesh Pasupuleti
April 30, 2024
Mikayel Samvelyan, Minqi Jiang, Davide Paglieri, Jack Parker-Holder, Tim Rocktäschel
April 05, 2024
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao
March 14, 2024
Marlene Careil, Matthew Muckley, Jakob Verbeek, Stephane Lathuiliere
January 25, 2024
Felix Xu, Di Lin, Jianjun Zhao, Jianlang Chen, Lei Ma, Qing Guo, Wei Feng, Xuhong Ren
November 28, 2023
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
October 28, 2023
Felix Xu, Geguang Pu, Jiayi Zhu, Jincao Feng, Liangru Sun, Qing Guo, Yang Liu, Yihao Huang
September 28, 2023
Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen, Felix Xu, Chen Feng
April 24, 2023
David Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander Miller, Noam Brown
February 21, 2023
Felix Xu, Fuyuan Zhang, Hua Qi, Jianjun Zhao, Jianlang Chen, Lei Ma, Qing Guo, Zhijie Wang
July 18, 2022
Joanna Bitton, Ivan Evtimov, Maya Pavlova
December 05, 2021
Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, Edward Suh
Person
Seattle, United States
Caner is a Research Scientist in the AI Red Team at Facebook AI Applied Research. He received his Ph.D. and Masters from the Technical University of Mu...
Research Area:
Core Machine Learning
Computer Vision
Cristian is a Research Scientist Manager on the AI Integrity Team at Facebook AI Applied Research. His research interests lie in the field of computer v...
NLP
Joanna is a Software Engineer in the AI Red Team at Facebook AI Applied Research. She received her Masters in Computer Science from the Courant Institu...
Menlo Park, United States
Kevin is a Research Scientist at Facebook AI Applied Research (FAIR). His research interests are primarily in deep learning, particularly computer visio...
Maziar is a research scientist on the AI Integrity team. AI integrity strives to make the world a better place by tackling important problems, such as h...
Integrity
Blog
April 17, 2025
Meta FAIR is releasing several new research artifacts that advance our understanding of perception and support our goal of achieving advanced machine intelligence (AMI).
April 05, 2025
We’re introducing Llama 4 Scout and Llama 4 Maverick, the first open-weight natively multimodal models with unprecedented context support and our first built using a mixture-of-experts (MoE) architecture.
July 18, 2023
We’re introducing the availability of Llama 2, the next generation of our open source large language model.
August 24, 2023
Code Llama, which is built on top of Llama 2, is free for research and commercial use.
December 04, 2023
AI Alliance Launches as an International Community of Leading Technology Developers, Researchers, and Adopters Collaborating Together to Advance Open, Safe, Responsible AI
April 18, 2024
Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. In the coming months, we expect to share new capabilities, additional model sizes, and more.
We’ve taken responsible steps before launching Meta AI and Meta Llama 3 so people can have safer and more enjoyable experiences.
December 07, 2023
Meta AI announces Purple Llama, a project for open trust and safety in generative AI, with tools for cybersecurity and input/output filtering.
July 23, 2024
Today, we’re sharing the measures and safeguards we’ve taken to responsibly scale the Llama 3.1 collection of models, including the 405B.
September 25, 2024
With the rapidly evolving AI landscape, we recognize the importance of sharing our responsibility and safety approach with everyone.
December 12, 2024
Meta FAIR is releasing new research artifacts that highlight our recent innovations in developing agents, robustness and safety, and architectures that facilitate machine learning.
December 18, 2024
Spotify uses Llama to deliver contextualized recommendations to boost artist discovery and create an even richer user experience.
Product experiences
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Our approach
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