Natalie Dullerud
Scholar

Natalie Dullerud

Google Scholar ID: YgoU6w0AAAAJ
Ph.D. Student, Stanford University
machine learningfairnessprivacyrobustness
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Citations & Impact
All-time
Citations
1,285
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
0
 
Contact
CVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
2 items
ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer
2026
Cited
0
Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds
2025
Cited
0
Resume (English only)
Academic Achievements
  • Published 'Washing The Unwashable: On the (Im)possibility of Fairwashing Detection' at NeurIPS 2022
  • Published 'Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning' at ICLR 2022
  • Co-authored 'Reading Race: AI Recognizes Patient’s Racial Identity In Medical Images' in The Lancet Digital Health (2022)
  • Published 'An Empirical Framework for Domain Generalization in Clinical Settings' at ACM CHIL 2021
  • Published 'Proof-of-Learning: Definitions and Practice' at IEEE S&P 2021
  • Published 'Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness' at ACM FAccT 2021
  • Published 'CaPC Learning: Confidential and Private Collaborative Learning' at ICLR 2021
  • Published work on anti-SARS-CoV2 antibody design at NeurIPS LMRL Workshop 2020
  • Published on cellular immunotherapy scheduling at IEEE CDC 2020
  • Contributed to multiple collaborative research projects on medical AI, privacy, and fairness
Co-authors
0 total
Co-authors: 0 (list not available)