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BruSLiAttack.github.io
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# BruSLiAttack.github.io # README This is for releasing the source code of the paper [BruSLeAttack: Query-Efficient Score-Based Sparse Adversarial Attack](https://...) Poster: [Poster](...) Artifacts: [Artifacts](https://github.com/BruSLiAttack/BruSLiAttack.github.io/tree/main/artifacts). These clean and perturbed samples & artifacts can be tested on [Google Cloud Vision](https://cloud.google.com/vision) (Test them for free!!!) Cite our research: ``` @inproceedings{Vo2024, title = {BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack}, year = {2024}, booktitle = {International Conference on Learning Representations (ICLR)}, author = Viet Quoc Vo and Ehsan Abbasnejad and Damith C. Ranasinghe}, } ``` ## TODO - [ ] Add the testing code.
