Analytical studies of fragmented-spectrum multi-level OFDM-CDMA technique in cognitive radio networks. - Farhad Akhoundi; Saeed Sharifi-Malvajerdi; Omid Poursaeed; Jawad A. Salehi (UEMCON, 2016)

Differentially Private Fair Learning. - Matthew Jagielski; Michael J. Kearns; Jieming Mao; Alina Oprea; Aaron Roth 001; Saeed Sharifi-Malvajerdi; Jonathan R. Ullman (ICML, 2019)

Average Individual Fairness: Algorithms, Generalization and Experiments. - Saeed Sharifi-Malvajerdi; Michael J. Kearns; Aaron Roth 001 (NeurIPS, 2019)

A New Analysis of Differential Privacy's Generalization Guarantees. - Christopher Jung 001; Katrina Ligett; Seth Neel; Aaron Roth 001; Saeed Sharifi-Malvajerdi; Moshe Shenfeld (ITCS, 2020)

Differentially Private Call Auctions and Market Impact. - Emily Diana; Hadi Elzayn; Michael Kearns; Aaron Roth 001; Saeed Sharifi-Malvajerdi; Juba Ziani (EC, 2020)

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning. - Seth Neel; Aaron Roth 001; Saeed Sharifi-Malvajerdi (ALT, 2021)

Lexicographically Fair Learning: Algorithms and Generalization. - Emily Diana; Wesley Gill; Ira Globus-Harris; Michael Kearns; Aaron Roth 001; Saeed Sharifi-Malvajerdi (FORC, 2021)

Adaptive Machine Unlearning. - Varun Gupta 006; Christopher Jung 001; Seth Neel; Aaron Roth 001; Saeed Sharifi-Malvajerdi; Chris Waites (NeurIPS, 2021)

Algorithms and Learning for Fair Portfolio Design. - Emily Diana; Travis Dick; Hadi Elzayn; Michael Kearns; Aaron Roth 001; Zachary Schutzman; Saeed Sharifi-Malvajerdi; Juba Ziani (EC, 2021)

A new analysis of differential privacy's generalization guarantees (invited paper). - Christopher Jung 001; Katrina Ligett; Seth Neel; Aaron Roth 001; Saeed Sharifi-Malvajerdi; Moshe Shenfeld (STOC, 2021)

Multiaccurate Proxies for Downstream Fairness. - Emily Diana; Wesley Gill; Michael Kearns; Krishnaram Kenthapadi; Aaron Roth 001; Saeed Sharifi-Malvajerdi (FAccT, 2022)

Sequential Strategic Screening. - Lee Cohen 001; Saeed Sharifi-Malvajerdi; Kevin Stangl; Ali Vakilian; Juba Ziani (ICML, 2023)

Bayesian Strategic Classification. - Lee Cohen 001; Saeed Sharifi-Malvajerdi; Kevin Stangl; Ali Vakilian; Juba Ziani (NeurIPS, 2024)

Minimax Group Fairness in Strategic Classification. - Emily Diana; Saeed Sharifi-Malvajerdi; Ali Vakilian (SaTML, 2025)