FAuST: Striking a Bargain between Forensic Auditing's Security and Throughput. - Muhammad Adil Inam; Akul Goyal; Jason Liu 002; Jaron Mink; Noor Michael; Sneha Gaur; Adam Bates 001; Wajih Ul Hassan (ACSAC, 2022)

Sometimes, You Aren't What You Do: Mimicry Attacks against Provenance Graph Host Intrusion Detection Systems. - Akul Goyal; Xueyuan Han; Gang Wang 011; Adam Bates 001 (NDSS, 2023)

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions. - Muhammad Adil Inam; Yinfang Chen; Akul Goyal; Jason Liu 002; Jaron Mink; Noor Michael; Sneha Gaur; Adam Bates 001; Wajih Ul Hassan (SP, 2023)

R-CAID: Embedding Root Cause Analysis within Provenance-based Intrusion Detection. - Akul Goyal; Gang Wang 011; Adam Bates 001 (SP, 2024)

ORCHID: Streaming Threat Detection over Versioned Provenance Graphs. - Akul Goyal; Jason Liu 002; Adam Bates 001; Gang Wang 011 (CoRR, 2024)

What We Talk About When We Talk About Logs: Understanding the Effects of Dataset Quality on Endpoint Threat Detection Research. - Jason Liu 002; Muhammad Adil Inam; Akul Goyal; Andy Riddle; Kim Westfall; Adam Bates 001 (SP, 2025)

Class-based Subset Selection for Transfer Learning under Extreme Label Shift. - Akul Goyal; Carl Edwards (CoRR, 2025)