Natalie Dullerud
5 papers · 2021–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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The Questioner
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Trend Setter
Venues
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Research topics
Keywords
privacy-preserving machine learning
(1)
federated learning
(1)
preference learning
(1)
feature disentanglement
(1)
secure multi-party computation
(1)
sensitivity analysis
(1)
multi-objective optimization
(1)
surrogate model
(1)
decision tree
(1)
deep metric learning
(1)
interpretable model
(1)
model explanation
(1)
black-box model
(1)
zero-knowledge proof
(1)
homomorphic encryption
(1)
active sampling
(1)
demographic parity
(1)
teacher-student model
(1)
equalized odd
(1)
pareto optimal solution
(1)
Papers
Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds
UAI 2026
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
ICLR 2023
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
ICLR 2022
Washing The Unwashable : On The (Im)possibility of Fairwashing Detection
NeurIPS 2022
CaPC Learning: Confidential and Private Collaborative Learning
ICLR 2021