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ChunTe Lee

Chunte

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reacted to MikeDoes's post with 🔥 about 4 hours ago

At Ai4Privacy, our goal is to empower researchers to build a safer AI ecosystem. Today, we're highlighting crucial research that does just that by exposing a new vulnerability. The paper "Forget to Flourish" details a new model poisoning technique. It's a reminder that as we fine-tune LLMs, our anonymization and privacy strategies must evolve to counter increasingly sophisticated threats. We're proud that the Ai4Privacy dataset was instrumental in this study. It served two key purposes: Provided a Realistic Testbed: It gave the researchers access to a diverse set of synthetic and realistic PII samples in a safe, controlled environment. Enabled Impactful Benchmarking: It allowed them to measure the actual effectiveness of their data extraction attack, proving it could compromise specific, high-value information. This work reinforces our belief that progress in AI security is a community effort. By providing robust tools for benchmarking, we can collectively identify weaknesses and build stronger, more resilient systems. A huge congratulations to the authors on this important contribution. 🔗 Read the full paper: https://arxiv.org/html/2408.17354v1 🚀 Stay updated on the latest in privacy-preserving AI—follow us on LinkedIn: https://www.linkedin.com/company/ai4privacy/posts/ #OpenSource #DataPrivacy #LLM #Anonymization #AIsecurity #HuggingFace #Ai4Privacy #Worldslargestopensourceprivacymaskingdataset

upvoted an article 2 days ago

GGML and llama.cpp join HF to ensure the long-term progress of Local AI

liked a Space 2 days ago

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Chunte (ChunTe Lee)

ChunTe Lee's picture

ChunTe Lee

Chunte

huggingface

·

AI & ML interests

None yet

Recent Activity

reacted to MikeDoes's post with 🔥 about 4 hours ago

At Ai4Privacy, our goal is to empower researchers to build a safer AI ecosystem. Today, we're highlighting crucial research that does just that by exposing a new vulnerability. The paper "Forget to Flourish" details a new model poisoning technique. It's a reminder that as we fine-tune LLMs, our anonymization and privacy strategies must evolve to counter increasingly sophisticated threats. We're proud that the Ai4Privacy dataset was instrumental in this study. It served two key purposes: Provided a Realistic Testbed: It gave the researchers access to a diverse set of synthetic and realistic PII samples in a safe, controlled environment. Enabled Impactful Benchmarking: It allowed them to measure the actual effectiveness of their data extraction attack, proving it could compromise specific, high-value information. This work reinforces our belief that progress in AI security is a community effort. By providing robust tools for benchmarking, we can collectively identify weaknesses and build stronger, more resilient systems. A huge congratulations to the authors on this important contribution. 🔗 Read the full paper: https://arxiv.org/html/2408.17354v1 🚀 Stay updated on the latest in privacy-preserving AI—follow us on LinkedIn: https://www.linkedin.com/company/ai4privacy/posts/ #OpenSource #DataPrivacy #LLM #Anonymization #AIsecurity #HuggingFace #Ai4Privacy #Worldslargestopensourceprivacymaskingdataset

upvoted an article 2 days ago

GGML and llama.cpp join HF to ensure the long-term progress of Local AI

liked a Space 2 days ago

Weyaxi/followers-leaderboard

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