Search Results for author: Saad Eddin Al Orjany

Found 2 papers, 1 papers with code

Epsilon*: Privacy Metric for Machine Learning Models

no code implementations • 21 Jul 2023 • Diana M. Negoescu, Humberto Gonzalez, Saad Eddin Al Orjany, Jilei Yang, Yuliia Lut, Rahul Tandra, Xiaowen Zhang, Xinyi Zheng, Zach Douglas, Vidita Nolkha, Parvez Ahammad, Gennady Samorodnitsky

We introduce Epsilon*, a new privacy metric for measuring the privacy risk of a single model instance prior to, during, or after deployment of privacy mitigation strategies.

Inference Attack Membership Inference Attack

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Greykite: Deploying Flexible Forecasting at Scale at LinkedIn

1 code implementation • 15 Jul 2022 • Reza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Yi Su, Saad Eddin Al Orjany, Sishi Tang, Parvez Ahammad

We present Greykite, an open-source Python library for forecasting that has been deployed on over twenty use cases at LinkedIn.

Anomaly Detection Time Series +1

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