Area of research
Artificial Intelligence · Sociology and Political Science
Research interest
Research interests include Computer science, Differential privacy, Computer security, Artificial intelligence, Data science, and Reinforcement learning.
The Frontier of Data Erasure: A Survey on Machine Unlearning for Large Language Models
Knowledge Distillation in Federated Learning: A Survey on Long Lasting Challenges and New Solutions
SoK: Bitcoin Layer Two (L2)
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation
Large Language Models for Link Stealing Attacks Against Graph Neural Networks
Machine Unlearning: A Survey
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy
A Game-Theoretic Federated Learning Framework for Data Quality Improvement
Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria
Multi‐agent reinforcement learning via knowledge transfer with differentially private noise
Differential Advising in Multiagent Reinforcement Learning
Applying Differential Privacy Mechanism in Artificial Intelligence
Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning
CaACBIM: A Context-aware Access Control Model for BIM
Differentially private model publishing in cyber physical systems
Differentially Private Data Publishing and Analysis: A Survey
Preliminary of Differential Privacy