Nurbek Tastan
7 papers · 2023–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(2)
Top co-authors
Research topics
Machine Learning
(6)
Application Areas
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Learning Paradigms · Artificial Intelligence
(3)
Computer Vision
(2)
Security & Privacy
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Privacy
(2)
Analysis
(1)
Core AI
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Keywords
federated learning
(4)
video anomaly detection
(2)
privacy-preserving learning
(2)
collaborative learning
(2)
unsupervised learning
(2)
fully homomorphic encryption
(2)
contribution assessment
(2)
low-rank adaptation
(1)
fair allocation
(1)
text-to-video generation
(1)
slimmable network
(1)
video diffusion model
(1)
homomorphic encryption
(1)
shapley value
(1)
cooperative game theory
(1)
one-class classification
(1)
model extraction
(1)
weighted aggregation
(1)
adapter training
(1)
encrypted inference
(1)
Papers
SPDMark: Selective Parameter Displacement for Robust Video Watermarking
CVPR 2026
Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
ICML 2025
A Framework for Double-Blind Federated Adaptation of Foundation Models
ICCV 2025
A Coarse-To-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection
WACV 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
CVPR 2024
Redefining Contributions: Shapley-Driven Federated Learning
IJCAI 2024
CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss
CVPR 2023