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• 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
• CSC: Turning the Adversary's Poison against Itself
  2026
• Osmosis Distillation: Model Hijacking with the Fewest Samples
  2026
• Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation
  2026
• MARS: A Malignity-Aware Backdoor Defense in Federated Learning
  2025
• Chain-of-Lure: A Universal Jailbreak Attack Framework using Unconstrained Synthetic Narratives
  2025
• Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI
  2025
• Adversarial Attacks Against Deep Generative Models on Data: A Survey
  2021
• Label-only Model Inversion Attack: The Attack that Requires the Least Information
  2022
• QUEEN: Query Unlearning against Model Extraction
  2024
• The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies
  2024