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SAFR AI Lab @ Harvard · GitHub
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SAFR AI Lab @ Harvard
The Secure and Fair AI Lab at Harvard is led by @sethneel and Salil Vadhan. We study reliability, privacy, security, and bias in A.I.
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survey-llm
survey-llm PublicA survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code
Repositories
Showing 6 of 6 repositories
- survey-llm Public
A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code
safr-ai-lab/survey-llm’s past year of commit activity - xai-disparity Public
safr-ai-lab/xai-disparity’s past year of commit activity - resources Public
safr-ai-lab/resources’s past year of commit activity - In-Context-Unlearning Public
"In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; arXiv preprint: arXiv:2310.07579; 2023.
safr-ai-lab/In-Context-Unlearning’s past year of commit activity - CounterfactualDistanceAttack Public
"On the Privacy Risks of Algorithmic Recourse". Martin Pawelczyk, Himabindu Lakkaraju* and Seth Neel*. In International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR, 2023.
safr-ai-lab/CounterfactualDistanceAttack’s past year of commit activity - GerryFair Public Forked from sethneel/GerryFair
Package implementing methods developed in "Preventing Fairness Gerrymandering" [ICML '18], "Rich Subgroup Fairness for Machine Learning" [ FAT* '19]. active development fork @algowatchupenn
safr-ai-lab/GerryFair’s past year of commit activity
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