Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations. - Zachary Izzo; Mary Anne Smart; Kamalika Chaudhuri; James Y. Zou (CoRR, 2020)

Approximate Data Deletion from Machine Learning Models. - Zachary Izzo; Mary Anne Smart; Kamalika Chaudhuri; James Zou 001 (AISTATS, 2021)

Addressing Privacy Threats from Machine Learning. - Mary Anne Smart (CoRR, 2021)

Understanding Risks of Privacy Theater with Differential Privacy. - Mary Anne Smart; Dhruv Sood; Kristen Vaccaro (Proc. ACM Hum. Comput. Interact., 2022)

What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy. - Priyanka Nanayakkara; Mary Anne Smart; Rachel Cummings; Gabriel Kaptchuk; Elissa M. Redmiles (USENIX Security Symposium, 2023)

Understanding and Improving Privacy Communication - Mary Anne Smart (2024)

Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy. - Mary Anne Smart; Priyanka Nanayakkara; Rachel Cummings; Gabriel Kaptchuk; Elissa M. Redmiles (Proc. Priv. Enhancing Technol., 2025)