Understanding Learned Models by Identifying Important Features at the Right Resolution. - Kyubin Lee; Akshay Sood; Mark Craven (AAAI, 2019)

Feature Importance Explanations for Temporal Black-Box Models. - Akshay Sood; Mark Craven (AAAI, 2022)

SoK: A Broad Comparative Evaluation of Software Debloating Tools. - Michael D. Brown; Adam Meily; Brian Fairservice; Akshay Sood; Jonathan Dorn; Eric Kilmer; Ronald Eytchison (CoRR, 2023)

A Broad Comparative Evaluation of Software Debloating Tools. - Michael D. Brown; Adam Meily; Brian Fairservice; Akshay Sood; Jonathan Dorn; Eric Kilmer; Ronald Eytchison (USENIX Security Symposium, 2024)

Disassembly as Weighted Interval Scheduling with Learned Weights. - Antonio Flores-Montoya; Junghee Lim; Adam Seitz; Akshay Sood; Edward Raff; James Holt (SP, 2025)

Special issues: The roles of special issues in scholarly communication in a changing publishing landscape. - Robyn M. Gleasner; Akshay Sood (Learn. Publ., 2025)