Reference
Doan, B.G., Xue, M., Ma, S., Abbasnejad, E. and Ranasinghe, D.C., 2021. TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. arXiv preprint arXiv:2111.09999.
Link to the research paper: TnTattacks
Bibtex
@article{doan2021tnt,
title={TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems},
author={Doan, Bao Gia and Xue, Minhui and Ma, Shiqing and Abbasnejad, Ehsan and Ranasinghe, Damith C},
journal={arXiv preprint arXiv:2111.09999},
year={2021}
}
Physical World Deployment Demonstration Videos
Summary
Targeted Attacks on the PubFig Classification Task
Targeted Attacks on ImageNet Large Scale Visual Recognition Task
- The effectiveness of an example flower TnT
- The effectiveness and robustness of miscellaneous examples of flower TnTs
- The effectiveness of a patch trigger
- The robustness of a patch trigger