Stephan Rabanser
5 papers · 2019–2025 · 2 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
🌈
Renaissance Researcher
(5)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Application Areas
(5)
Artificial Intelligence
(3)
Core AI
(3)
Computer Science
(2)
Applications
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types
(1)
Mathematics
(1)
Methods
(1)
Optimization & Theory
(1)
Keywords
model confidence
(2)
covariate shift
(2)
adversarial robustness
(1)
domain adaptation
(1)
uncertainty quantification
(1)
privacy-preserving learning
(1)
secure multi-party computation
(1)
two-sample test
(1)
statistical hypothesis testing
(1)
distribution shift
(1)
secure aggregation
(1)
selective prediction
(1)
abstention
(1)
collaborative learning
(1)
dataset shift
(1)
out-of-distribution detection
(1)
zero-knowledge proof
(1)
overconfident prediction
(1)
robust aggregation
(1)
classifier accuracy
(1)
Papers
Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
ICML 2025
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
ICML 2025
Robust and Actively Secure Serverless Collaborative Learning
NeurIPS 2023
Training Private Models That Know What They Don’t Know
NeurIPS 2023
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
NeurIPS 2019