Stephan Rabanser
5 papers · 2019–2025 · 2 conferences · across top CS/AI conferences
Achievements
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Conferences
NIPS (3)
ICML (2)
Top co-authors
Research topics
Keywords
federated learning
(1)
differential privacy
(1)
adversarial robustness
(1)
domain adaptation
(1)
uncertainty quantification
(1)
privacy-preserving learning
(1)
covariate shift
(1)
secure multi-party computation
(1)
two-sample test
(1)
distribution shift
(1)
secure aggregation
(1)
selective prediction
(1)
collaborative learning
(1)
dataset shift
(1)
out-of-distribution detection
(1)
overconfident prediction
(1)
robust aggregation
(1)
model confidence
(1)
malicious client
(1)
collaborative machine learning
(1)
Papers
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
ICML 2025
Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
ICML 2025
Robust and Actively Secure Serverless Collaborative Learning
NIPS 2023
Training Private Models That Know What They Donβt Know
NIPS 2023
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
NIPS 2019