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• DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
  2020 · 25 citations
• Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques
  2020 · 14 citations
• TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction
  2019 · 9 citations
• A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks
  2020 · 4 citations
• Fingerprinting Multi-exit Deep Neural Network Models via Inference Time
  2021 · 4 citations
• ObfusBFA: A Holistic Approach to Safeguarding DNNs from Different Types of Bit-Flip Attacks
  2025
• Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator
  2023
• One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training
  2023