Moosavi-Dezfooli, Seyed-Mohsen
ETH Zurich
3 papers on CoChat
Most cited papers
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DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
Moosavi-Dezfooli, S.-M., Fawzi, A., & Frossard, P. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 5,317
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Universal Adversarial Perturbations
Moosavi-Dezfooli, S.-M., Fawzi, A., Fawzi, O., & Frossard, P. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 2,680
- Verified
Hold me tight! Influence of discriminative features on deep network boundaries
Ortiz-Jimenez, G., Modas, A., Moosavi-Dezfooli, S.-M., & Frossard, P. (2020) · arXiv
Adversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)
Cited by 15
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