A Constellation of Horrors: Analysis and Visualization of the #Cuéntalo Movement. - Maria Soledad Bucalo; Luz Calvo; Fernando M. Cucchietti; David Garcia Povedano; Artur García-Sáez; Juan Felipe Gómez; Camilo Arcadio González; Guillermo Marin; Irene Meta; Patricio Reyes; Feliu Serra; Diana Fernanda Vélez (WWW (Companion Volume), 2019)

The Saddle-Point Accountant for Differential Privacy. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar; Fei Wei (CoRR, 2022)

The Saddle-Point Method in Differential Privacy. - Wael Alghamdi; Juan Felipe Gómez; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (ICML, 2023)

Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar (ISIT, 2023)

Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar (ISIT, 2023)

Algorithmic Arbitrariness in Content Moderation. - Juan Felipe Gómez; Caio Vieira Machado; Lucas Monteiro Paes; Flávio P. Calmon (FAccT, 2024)

Attack-Aware Noise Calibration for Differential Privacy. - Bogdan Kulynych; Juan Felipe Gómez; Georgios Kaissis; Flávio P. Calmon; Carmela Troncoso (NeurIPS, 2024)

(ϵ, δ) Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees. - Juan Felipe Gómez; Bogdan Kulynych; Georgios Kaissis; Jamie Hayes; Borja Balle; Antti Honkela (CoRR, 2025)

Optimal Additive Noise Mechanisms for Differential Privacy. - Atefeh Gilani; Juan Felipe Gómez; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (CoRR, 2025)

Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy. - Bogdan Kulynych; Juan Felipe Gómez; Georgios Kaissis; Jamie Hayes; Borja Balle; Flávio P. Calmon; Jean Louis Raisaro (CoRR, 2025)