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Study investigates privacy risks in large language models. Proposes methods to reconstruct user inputs from embeddings, introduces defense mechanism to safeguard privacy in distributed learning systems.
https://arxiv.org/abs//2405.11916
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
Study investigates privacy risks in large language models. Proposes methods to reconstruct user inputs from embeddings, introduces defense mechanism to safeguard privacy in distributed learning systems.
https://arxiv.org/abs//2405.11916
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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