基本信息
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Bio
My research focuses on enhancing the security/privacy/robustness of ML, improving large language models, and the intersection of these topics. Some of my recent work includes:
Memorization & Privacy We've shown that LMs and diffusion models can memorize their training data, raising questions regarding privacy, copyright, GDPR statutes, and more.
Prompting & Decoding We've done some of the early work on prompting LMs, including prompt design, parameter efficiency, and understanding failure modes.
Robustness We've studied natural and adversarial distribution shifts, and we have traced model errors back to quality and diversity issues in the training data.
New Threat Models We've explored and refined new types of adversarial vulnerabilities, including stealing models weights and poisoning training sets.
Memorization & Privacy We've shown that LMs and diffusion models can memorize their training data, raising questions regarding privacy, copyright, GDPR statutes, and more.
Prompting & Decoding We've done some of the early work on prompting LMs, including prompt design, parameter efficiency, and understanding failure modes.
Robustness We've studied natural and adversarial distribution shifts, and we have traced model errors back to quality and diversity issues in the training data.
New Threat Models We've explored and refined new types of adversarial vulnerabilities, including stealing models weights and poisoning training sets.
Research Interests
Papers共 54 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
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CoRR (2024)
Cited0Views0EIBibtex
0
0
CoRR (2024)
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0
0
CoRR (2024)
Cited17Views0EIBibtex
17
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ICLR 2024 (2024)
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0
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arxiv(2024)
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CoRR (2023): 35413-35425
BAIR (2023)
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23
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PROCEEDINGS OF THE 32ND USENIX SECURITY SYMPOSIUM (2023): 5253-5270
CoRR (2023)
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