Kok-Seng Wong
9 papers · 2023–2026 · 7 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🌱
Topic Pioneer
📈
Trend Setter
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(5)
Learning Types · Machine Learning
(5)
Application Areas
(4)
Deep Learning
(3)
Learning Paradigms · Artificial Intelligence
(3)
Core AI
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Applications · Natural Language Processing
(1)
Applications · Computer Science
(1)
Architectures
(1)
Keywords
backdoor attack
(4)
adversarial attack
(4)
federated learning
(3)
black-box attack
(2)
model robustness
(2)
clean-label attack
(2)
distributed learning
(1)
privacy preservation
(1)
machine unlearning
(1)
model aggregation
(1)
privacy preserving
(1)
generalization error bound
(1)
adversarial defense
(1)
adversarial perturbation
(1)
poisoning attack
(1)
right to be forgotten
(1)
hierarchical federated learning
(1)
normalization layer
(1)
model poisoning
(1)
feature noise
(1)
Papers
Clean-Label Physical Backdoor Attacks with Data Distillation
AAAI 2026
HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation
CVPR 2026
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
ICLR 2025
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
CVPR 2024
Fooling the Textual Fooler via Randomizing Latent Representations
ACL 2024
HPE-Li: WiFi-enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation
ECCV 2024
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
ICLR 2024
Empirical Study of Federated Unlearning: Efficiency and Effectiveness
ACML 2023
IBA: Towards Irreversible Backdoor Attacks in Federated Learning
NeurIPS 2023