Jan Schuchardt
9 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Learning Types · Machine Learning
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types · Deep Learning
(4)
Mathematics & Optimization
(3)
Architectures
(3)
Application Areas
(2)
Mathematics
(2)
Data Science & Analytics
(1)
Security & Privacy
(1)
Core Methods
(1)
Differential Privacy
(1)
Keywords
adversarial robustness
(6)
randomized smoothing
(5)
robustness certificate
(3)
certified robustness
(2)
collective robustness
(2)
privacy amplification
(2)
graph neural network
(2)
time series
(1)
message passing
(1)
robustness certification
(1)
node classification
(1)
end-to-end learning
(1)
group equivariance
(1)
molecular property prediction
(1)
group privacy
(1)
conditional optimal transport
(1)
self-supervised training
(1)
neural network
(1)
gray-box certificate
(1)
differentially private
(1)
Papers
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
ICML 2025
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
NeurIPS 2024
Hierarchical Randomized Smoothing
NeurIPS 2023
Localized Randomized Smoothing for Collective Robustness Certification
ICLR 2023
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
NeurIPS 2023
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
ICLR 2022
Invariance-Aware Randomized Smoothing Certificates
NeurIPS 2022
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
NeurIPS 2022
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
ICLR 2021