Attack Some while Protecting Others: Selective Attack Strategies for Attacking and Protecting Multiple Concepts

Author:

Belavadi Vibha1ORCID,Zhou Yan1ORCID,Kantarcioglu Murat1ORCID,Thuraisingham Bhavani2ORCID

Affiliation:

1. University of Texas at Dallas, Richardson, TX, USA

2. University of Texas Dallas, Richardson, TX, USA

Funder

Army Research Office

NSF (National Science Foundation)

Publisher

ACM

Reference37 articles.

1. Towards Evaluating the Robustness of Neural Networks

2. Susan Collins, Yizhou Sun, Michal Kosinski, David Stillwell, and Natasha Marku-zon. 2015. Are You Satisfied with Life?: Predicting Satisfaction with Life from Facebook. In Social Computing, Behavioral-Cultural Modeling, and Prediction, Nitin Agarwal, Kevin Xu, and Nathaniel Osgood (Eds.). Springer International Publishing, Cham, 24--33.

3. Yinpeng Dong Hang Su Jun Zhu and Fan Bao. 2017. Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples. arXiv:1708.05493 [cs.CV]

4. Jörg Fliege and Benar Svaiter. 2000. Steepest descent methods for multicriteria optimization. Math Methods Oper Res 51 (08 2000), 479--494. https://doi.org/10. 1007/s001860000043

5. Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy. 2015. Explaining and Harnessing Adversarial Examples. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). ICLR, San Diego, CA, USA, https://arxiv.org/abs/1412.6572. http://arxiv.org/abs/1412.6572

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