Jan Schuchardt
9 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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๐บ๏ธ Taxonomy Completionist (19) ๐งญ Keyword Pioneer ๐ Conference Polyglot (3) ๐ Interdisciplinary Bridge ๐ Cross-Pollinator (8)
๐
Renaissance Researcher
(5)
๐ฅ
Unstoppable
(5)
Conferences
NIPS (5)
ICLR (3)
ICML (1)
Top co-authors
Research topics
Keywords
randomized smoothing
(4)
adversarial robustness
(4)
certified robustness
(2)
geometric deep learning
(1)
group theory
(1)
message passing
(1)
robustness certification
(1)
group equivariance
(1)
molecular property prediction
(1)
privacy amplification
(1)
group privacy
(1)
conditional optimal transport
(1)
robustness certificate
(1)
graph neural network
(1)
neural network
(1)
gray-box certificate
(1)
hierarchical smoothing
(1)
euclidean isometry
(1)
renyi privacy
(1)
differential privacy
(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
NIPS 2024
Hierarchical Randomized Smoothing
NIPS 2023
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
NIPS 2023
Localized Randomized Smoothing for Collective Robustness Certification
ICLR 2023
Invariance-Aware Randomized Smoothing Certificates
NIPS 2022
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
NIPS 2022
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
ICLR 2022
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
ICLR 2021