45 citations · 47 across the 6 of their papers we have counts for
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cs.LG2023
Epsilon*: Privacy Metric for Machine Learning Models
Diana M. Negoescu, Humberto Gonzalez, Saad Eddin Al Orjany +9
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. The me…
cs.AI2023★ 1 cited
Unlocking Sales Growth: Account Prioritization Engine with Explainable AI
Suvendu Jena, Jilei Yang, Fangfang Tan
B2B sales requires effective prediction of customer growth, identification of upsell potential, and mitigation of churn risks. LinkedIn sales representatives traditionally relied o…