Yun Dong
6 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Cross-Pollinator (15)
π
Keyword Champion
(2)
Conferences
AAAI (2)
CVPR (2)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
representation learning
(2)
attribute inference
(2)
graph neural network
(2)
poisoning attack
(2)
graph classification
(1)
privacy preservation
(1)
mutual information
(1)
adversarial attack
(1)
randomized smoothing
(1)
node classification
(1)
evasion attack
(1)
privacy guarantee
(1)
certified defense
(1)
attribute inference attack
(1)
privacy-preserving representation learning
(1)
task-agnostic approach
(1)
privacy-preserving representation
(1)
information theory
(1)
attribute privacy
(1)
federated learning
(1)
Papers
Learning Robust and Privacy-Preserving Representations via Information Theory
AAAI 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
CVPR 2025
Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
ICLR 2025
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks
AAAI 2024
Graph Neural Network Explanations are Fragile
ICML 2024
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks
CVPR 2023