1. Advancing Few-Shot Black-Box Attack With Alternating Training;IEEE Transactions on Reliability;2024-09
2. Dynamic loss yielding more transferable targeted adversarial examples;Neurocomputing;2024-07
3. MC-Net: Realistic Sample Generation for Black-Box Attacks;IEEE Transactions on Information Forensics and Security;2024
4. Low-Query-Cost Data-Free Black-Box Attacks;2023 5th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI);2023-12-15
5. AKD: Using Adversarial Knowledge Distillation to Achieve Black-box Attacks;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18