Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. - Florian Tramèr; Reza Shokri; Ayrton San Joaquin; Hoang Le; Matthew Jagielski; Sanghyun Hong 001; Nicholas Carlini (CCS, 2022)

Understanding How Model Size Affects Few-shot Instruction Prompting. - Ayrton San Joaquin; Ardy Haroen (CoRR, 2022)

Applying Multilingual Models to Question Answering (QA). - Ayrton San Joaquin; Filip Skubacz (CoRR, 2022)

In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models. - Ayrton San Joaquin; Bin Wang 040; Zhengyuan Liu; Philippe Muller; Nicholas Asher; Brian Lim; Nancy F. Chen (EMNLP (Findings), 2024)

Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems. - Rokas Gipiskis; Ayrton San Joaquin; Ze Shen Chin; Adrian Regenfuß; Ariel Gil; Koen Holtman (CoRR, 2024)

Deprecating Benchmarks: Criteria and Framework. - Ayrton San Joaquin; Rokas Gipiskis; Leon Staufer; Ariel Gil (CoRR, 2025)