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• Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning
  2023 · 2 citations
• PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning
  2024 · 1 citations
• Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
  2025
• JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring
  2025
• Prediction Inconsistency Helps Achieve Generalizable Detection of Adversarial Examples
  2025
• Revisiting Training-Inference Trigger Intensity in Backdoor Attacks
  2025
• Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
  2023
• SSL-Auth: An Authentication Framework by Fragile Watermarking for Pre-trained Encoders in Self-supervised Learning
  2023
• LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection
  2024
• Systematic Categorization, Construction and Evaluation of New Attacks against Multi-modal Mobile GUI Agents
  2024
• A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations
  2024
• Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
  2024