Towards Evaluating the Robustness of Neural Networks
Carlini, Nicholas, Wagner, David·2017·2017 IEEE Symposium on Security and Privacy (SP)
Cited by (1,019)
Items 1,001–1,019 of 1,019
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- Targeted Backdoor Attacks on Deep Learning Systems Using Data PoisoningChen, Xinyun, Liu, Chang, Li, Bo, Lu, Kimberly, Song, Dawn · 2017 · arXiv
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- Adversarial training for freeShafahi, Ali, Najibi, Mahyar, Ghiasi, Amin, Xu, Zheng, Dickerson, John, Studer, Christoph, Davis, Larry S., Taylor, Gavin, Goldstein, Tom · 2019 · ETH Zurich
- PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial ExamplesSong, Yang, Kim, Taesup, Nowozin, Sebastian, Ermon, Stefano, Kushman, Nate · 2017 · arXiv
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- Security and Privacy Issues in Deep LearningBae, Ho, Jang, Jaehee, Jung, Dahuin, Jang, Hyemi, Ha, Heonseok, Lee, Hyungyu, Yoon, Sungroh · 2018 · arXiv