← authors · overview

• A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries
  2020 · 45 citations
• Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey
  2024 · 8 citations
• One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy
  2022 · 5 citations
• Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It
  2022 · 2 citations
• Boosting Model Inversion Attacks with Adversarial Examples
  2023 · 1 citations
• MARS: A Malignity-Aware Backdoor Defense in Federated Learning
  2025
• Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI
  2025
• Label-only Model Inversion Attack: The Attack that Requires the Least Information
  2022
• QUEEN: Query Unlearning against Model Extraction
  2024
• Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks
  2024
• Defending Against Neural Network Model Inversion Attacks via Data Poisoning
  2024