研究组
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Privacy in AI group explores questions related to user privacy and confidentiality in machine learning.
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AI for Domains (AID) Our mission The M365 Research organization's AI for Domains (AID) team is an applied research group focused on leveraging cutting-edge research to extend the capabilities, efficiency, reliability, and reduce risks associated with Copilot. We prioritize user…
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Recent research has shown that deploying ML models can, in some cases, implicate privacy in unexpected ways. For example, pretrained public language models that are fine-tuned on private data can be misused to recover private information, and very large language models…
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Scientists and engineers in the LEAP (Language, Learning, Audio, Privacy) research area make and harness advances in machine learning, natural language processing, and signal processing to: We advance the state-of-the-art in AI while providing practical solutions to real-world problems and…
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Pioneering advancements in AI and systems