Dataset for Website Fingerprinting Attack Evaluation

Datasets for evaluating website fingerprinting attacks. More details can be found in WFlib

WFlib is a Pytorch-based open-source library for website fingerprinting attacks, intended for research purposes only.

We provide a neat code base to evaluate 12 advanced DL-based WF attacks on multiple datasets. This library is derived from our ACM CCS 2024 paper. If you find this repo useful, please cite our paper.

```bibtex

@inproceedings{deng2024wflib,

title={Robust and Reliable Early-Stage Website Fingerprinting Attacks via Spatial-Temporal Distribution Analysis},

author={Deng, Xinhao and Li, Qi and Xu, Ke},

booktitle={Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security},

year={2024}

}

```

Contributions via pull requests are welcome and appreciated.