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Recent studies have revealed the vulnerability of Deep Neural Networks (DNNs) to adversarial examples, which can easily fool DNNs into making incorrect predictions.
Explaining and harnessing adversarial examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
Earlier work this paper cites.
Mixture of experts: a literature survey
Saeed Masoudnia and Reza Ebrahimpour · 2014
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Adversarial machine learning at scale
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2016
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Adversarial examples in the physical world
Alexey Kurakin, Ian J. Goodfellow, and Samy Bengio · 2016
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Learning deep features for discriminative localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
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Yoshua Bengio · 2017
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Learning independent features with adversarial nets for non-linear ica
Philemon Brakel and Yoshua Bengio · 2017
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Boosting adversarial attacks with momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li · 2017
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
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Practical black-box attacks against machine learning
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z Berkay Celik, and Ananthram Swami · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, and Jeff Dean · 2017
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Ensemble adversarial training: Attacks and defenses
Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, and Patrick McDaniel · 2017
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Mutual information neural estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar, Sherjil Ozair, Yoshua Bengio, Aaron Courville, and Devon Hjelm · 2018
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Audio adversarial examples: Targeted attacks on speech-to-text
Nicholas Carlini and David A. Wagner · 2018
Cited alongside, same era.
Deep learning algorithms for detection of critical findings in head ct scans: a retrospective study
Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G Campeau, Vasantha Kumar Venugopal, Vidur Mahajan, Pooja Rao, and Prashant Warier · 2018
Cited alongside, same era.
Lau-rens van der maaten,“countering adversarial images using input transformations,”
Chuan Guo, Mayank Rana, and Moustapha Cisse · 2018
Cited alongside, same era.
Harini Kannan, Alexey Kurakin, and Ian Goodfellow · 2018
Cited alongside, same era.
Towards robust neural networks via random self-ensemble
Xuanqing Liu, Minhao Cheng, Huan Zhang, and Cho-Jui Hsieh · 2018
Cited alongside, same era.
Theoretically principled trade-off between robustness and accuracy
Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric Xing, Laurent El Ghaoui, and Michael Jordan · 2019
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Deep learning approach for suspicious activity detection from surveillance video
CV Amrutha, C Jyotsna, and J Amudha · 2020
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Provably robust adversarial examples
Dimitar I Dimitrov, Gagandeep Singh, Timon Gehr, and Martin Vechev · 2020
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Improving interpretability in medical imaging diagnosis using adversarial training
Andrei Margeloiu, Nikola Simidjievski, Mateja Jamnik, and Adrian Weller · 2020
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Learning disentangled representations via mutual information estimation
Eduardo Hugo Sanchez, Mathieu Serrurier, and Mathias Ortner · 2020
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Deflecting adversarial attacks with pixel deflection
Aaditya Prakash, Nick Moran, Solomon Garber, Antonella DiLillo, and James Storer · 2018
Cited alongside, same era.
Skipnet: Learning dynamic routing in convolutional networks
Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, and Joseph E Gonzalez · 2018
Cited alongside, same era.
Learning representations by maximizing mutual information across views
Philip Bachman, R Devon Hjelm, and William Buchwalter · 2019
Cited alongside, same era.
Progressive differentiable architecture search: Bridging the depth gap between search and evaluation
Xin Chen, Lingxi Xie, Jun Wu, and Qi Tian · 2019
Cited alongside, same era.
When nas meets robustness: In search of robust architectures against adversarial attacks
Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, and Dahua Lin · 2019
Cited alongside, same era.
Comdefend: An efficient image compression model to defend adversarial examples
Xiaojun Jia, Xingxing Wei, Xiaochun Cao, and Hassan Foroosh · 2019
Cited alongside, same era.
Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, and Peter Chin · 2019
Cited alongside, same era.
Ss-cam: Smoothed score-cam for sharper visual feature localization
Haofan Wang, Rakshit Naidu, Joy Michael, and Soumya Snigdha Kundu · 2020
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Score-cam: Score-weighted visual explanations for convolutional neural networks
Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, and Xia Hu · 2020
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Adversarial examples improve image recognition
Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L Yuille, and Quoc V Le · 2020
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Adversarial example detection using latent neighborhood graph
Ahmed Abusnaina, Yuhang Wu, Sunpreet Arora, Yizhen Wang, Fei Wang, Hao Yang, and David Mohaisen · 2021
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Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, and Ed Chi · 2021
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Designing deep learning studies in cancer diagnostics
Andreas Kleppe, Ole-Johan Skrede, Sepp De Raedt, Knut Liestøl, David J Kerr, and Håvard E Danielsen · 2021
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Advrush: Searching for adversarially robust neural architectures
Ji-Yoon Choi Ji-Hyeok Moon Young-Ilc Mok, Byunggook Na, Hyeokjun Choe, and Sungroh Yoon · 2021
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Thirdeye: Attention maps for safe autonomous driving systems
Andrea Stocco, Paulo J Nunes, Marcelo D’Amorim, and Paolo Tonella · 2022
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Improving adversarial robustness via mutual information estimation
Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, and Tongliang Liu · 2022
Later among the works it cites.