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Due to data dependency and model leakage properties, Deep Neural Networks (DNNs) exhibit several security vulnerabilities.
Explaining and harnessing adversarial examples
Goodfellow et al., I. J · 2014
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The limitations of deep learning in adversarial settings
Papernot et al., N · 2015
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Adversarial examples in the physical world
Kurakin et al., A · 2016
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Decision-based adversarial attacks: Reliable attacks against black-box machine learning models
Brendel, W., Rauber, J., and Bethge, M · 2017
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Towards evaluating the robustness of neural networks
Carlini, N. and Wagner, D · 2017
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ZOO: zeroth order optimization based black-box attacks to deep neural networks without training substitute models
Chen, P., Zhang, H., Sharma, Y., Yi, J., and Hsieh, C · 2017
Cited alongside, same era.
Badnets: Identifying vulnerabilities in the machine learning model supply chain
Gu, T., Dolan-Gavitt, B., and Garg, S · 2017
Cited alongside, same era.
Foolbox v0.8.0: A python toolbox to benchmark the robustness of machine learning models
Rauber, J., Brendel, W., and Bethge, M · 2017
Cited alongside, same era.
Genattack: Practical black-box attacks with gradient-free optimization
Alzantot, M., Sharma, Y., Chakraborty, S., and Srivastava, M. B · 2018
Cited alongside, same era.
Wild patterns: Ten years after the rise of adversarial machine learning
Biggio, B. and Roli, F · 2018
Detecting backdoor attacks on deep neural networks by activation clustering
Chen, B., Carvalho, W., Baracaldo, N., Ludwig, H., Edwards, B., Lee, T., Molloy, I., and Srivastava, B · 2018
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Fademl: Understanding the impact of pre-processing noise filtering on adversarial machine learning
Khalid et al., F · 2018
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Hu-fu: Hardware and software collaborative attack framework against neural networks
Li, W., Yu, J., Ning, X., Wang, P., Wei, Q., Wang, Y., and Yang, H · 2018
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Machine learning, social learning and the governance of self-driving cars
Stilgoe, J · 2018
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Potrojan: powerful neural-level trojan designs in deep learning models
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Cited alongside, same era.
Zou, M., Shi, Y., Wang, C., Li, F., Song, W., and Wang, Y · 2018
Later among the works it cites.