Tobias Leemann
8 papers · 2022–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (6)
π
Cross-Pollinator
(11)
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Renaissance Researcher
(6)
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Grand Slam
β
The Questioner
Conferences
ICLR (3)
AAAI (1)
EMNLP (1)
ICML (1)
NIPS (1)
UAI (1)
Top co-authors
Research topics
Keywords
information theory
(1)
privacy-preserving machine learning
(1)
stochastic gradient descent
(1)
independent component analysis
(1)
principal component analysis
(1)
embedding space
(1)
text classification
(1)
decision making
(1)
data augmentation
(1)
explainable ai
(1)
feature attribution
(1)
evaluation framework
(1)
data privacy
(1)
model training
(1)
privacy protection
(1)
information leakage
(1)
membership inference
(1)
concept discovery
(1)
privacy guarantee
(1)
post-hoc explanation
(1)
Papers
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
ICLR 2025
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data
AAAI 2024
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI
EMNLP 2024
When are post-hoc conceptual explanations identifiable?
UAI 2023
On the Trade-Off between Actionable Explanations and the Right to be Forgotten
ICLR 2023
Language Models are Realistic Tabular Data Generators
ICLR 2023
Gaussian Membership Inference Privacy
NIPS 2023
A Consistent and Efficient Evaluation Strategy for Attribution Methods
ICML 2022