Saeed Sharifi-Malvajerdi

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi · arXiv (Cornell University) · 2020 · 54 citations · Full text

Convex Models, Engineering, Machine Learning +13

Adaptive Machine Unlearning

Varun Gupta, Christopher Jung, Seth Neel et al. · arXiv (Cornell University) · 2021 · 45 citations · Full text

Artificial Intelligence, Privacy Protection, Engineering +19

Average Individual Fairness: Algorithms, Generalization and Experiments

Saeed Sharifi-Malvajerdi, Michael Kearns, Aaron Roth · neural information processing systems · 2019 · 30 citations

Artificial Intelligence, Engineering, Machine Learning +16

Average Individual Fairness: Algorithms, Generalization and Experiments

Michael Kearns, Aaron Roth, Saeed Sharifi-Malvajerdi · arXiv (Cornell University) · 2019 · 27 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +18

Differentially Private Fair Learning

Matthew Jagielski, Michael Kearns, Jieming Mao et al. · arXiv (Cornell University) · 2018 · 18 citations · Full text

Privacy Protection, Engineering, Machine Learning +22