This is the official repository for the paper "Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics" presented at IEEE Symposium on Security and Privacy (S&P) 2024.

To execute the Source-Specific and Dynamic-Triggers (SSDT) attack on the CIFAR-10, MNIST, or GTSRB dataset, use the following configuration:

• Command: python train_SSDT.py
• Arguments:
  • --dataset [cifar10/mnist/gtsrb] (replace with the desired dataset)
  • --attack_mode SSDT
  • --n_iters 300

Example command for CIFAR-10:

python train_SSDT.py --dataset cifar10 --attack_mode SSDT --n_iters 300

To explore the TED defense methodology, use the TED.ipynb Jupyter Notebook provided in this repository.