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Adversarial attacks on video recognition models have been explored recently.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
R. J. Williams · 1992
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Long short-term memory
Sepp Hochreiter and Jurgen Schmidhuber · 1997
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Hmdb: a large video database for human motion recognition
Hildegard Kuehne, Hueihan Jhuang, Estíbaliz Garrote, Tomaso Poggio, and Thomas Serre · 2011
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Ucf101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah · 2012
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Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin A. Riedmiller · 2013
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Natural evolution strategies
Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jan Peters, and Jürgen Schmidhuber · 2014
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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Deep learning
Yann Lecun, Yoshua Bengio, and Geoffrey E Hinton · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Deepfool: A simple and accurate method to fool deep neural networks
Seyedmohsen Moosavidezfooli, Alhussein Fawzi, and Pascal Frossard · 2016
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Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Christopher J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, and Demis Hassabis · 2016
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Zbigniew Wojna · 2016
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Long-term recurrent convolutional networks for visual recognition and description
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, and Trevor Darrell · 2017
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Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin M. Ko, Susan M. Swetter, Helen M. Blau, and Sebastian Thrun · 2017
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Countering adversarial images using input transformations
Chuan Guo, Mayank Rana, Moustapha Cisse, and Laurens Van Der Maaten · 2017
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Deep reinforcement learning: An overview
Yuxi Li · 2017
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A survey on deep learning in medical image analysis
Geert J. S. Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. Van Der Laak, Bram Van Ginneken, and Clara I. Sánchez · 2017
Cited alongside, same era.
No need to worry about adversarial examples in object detection in autonomous vehicles
Jiajun Lu, Hussein Sibai, Evan Fabry, and David Forsyth · 2017
Cited alongside, same era.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
Cited alongside, same era.
Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy P. Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, and Demis Hassabis · 2017
Cited alongside, same era.
Adversarial examples for semantic segmentation and object detection
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, and Alan L Yuille · 2017
Cited alongside, same era.
Attention-aware sampling via deep reinforcement learning for action recognition
Wenkai Dong, Zhaoxiang Zhang, and Tieniu Tan · 2019
Later among the works it cites.
Efficient decision-based black-box adversarial attacks on face recognition
Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, and Jun Zhu · 2019
Later among the works it cites.
Identifying and resisting adversarial videos using temporal consistency
Xiaojun Jia, Xingxing Wei, and Xiaochun Cao · 2019
Later among the works it cites.
Comdefend: An efficient image compression model to defend adversarial examples
Xiaojun Jia, Xingxing Wei, Xiaochun Cao, and Hassan Foroosh · 2019
Later among the works it cites.
Black-box adversarial attacks on video recognition models
Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, and Yu-Gang Jiang · 2019
Later among the works it cites.
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Threat of adversarial attacks on deep learning in computer vision: A survey
Naveed Akhtar and Ajmal Mian · 2018
Cited alongside, same era.
Adversarial attacks on face detectors using neural net based constrained optimization
Avishek Joey Bose and Parham Aarabi · 2018
Cited alongside, same era.
Shield: Fast, practical defense and vaccination for deep learning using jpeg compression
Nilaksh Das, Madhuri Shanbhogue, Shangtse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E Kounavis, and Duen Horng Chau · 2018
Cited alongside, same era.
Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
Kensho Hara, Hirokatsu Kataoka, and Yutaka Satoh · 2018
Cited alongside, same era.
Black-box adversarial attacks with limited queries and information
Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin, Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok · 2018
Cited alongside, same era.
Deflecting adversarial attacks with pixel deflection
Aaditya Prakash, Nick Moran, Solomon Garber, Antonella DiLillo, and James Storer · 2018
Cited alongside, same era.
Ensemble adversarial training: Attacks and defenses
Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian J. Goodfellow, Dan Boneh, and Patrick D. McDaniel · 2018
Cited alongside, same era.
Stealthy adversarial perturbations against real-time video classification systems
Shasha Li, Ajaya Neupane, Sujoy Paul, Chengyu Song, Srikanth V Krishnamurthy, Amit K Roy-Chowdhury, and Ananthram Swami · 2019
Later among the works it cites.
Transferable adversarial attacks for image and video object detection
Xingxing Wei, Siyuan Liang, Ning Chen, and Xiaochun Cao · 2019
Later among the works it cites.
Sparse adversarial perturbations for videos
Xingxing Wei, Jun Zhu, Sha Yuan, and Hang Su · 2019
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Towards adversarially robust object detection
Haichao Zhang and Jianyu Wang · 2019
Later among the works it cites.
Signsgd via zeroth-order oracle
Sijia Liu, Pin Yu Chen, Xiangyi Chen, and Mingyi Hong · 2019
Later among the works it cites.
Detecting and mitigating adversarial perturbations for robust face recognition
Gaurav Goswami, Akshay Agarwal, Nalini Ratha, Richa Singh, and Mayank Vatsa · 2019
Later among the works it cites.
Sign-opt: A query-efficient hard-label adversarial attack
Minhao Cheng, Simranjit Singh, Pin-Yu Chen, Sijia Liu, and Cho-Jui Hsieh · 2020
Closest in time.
Pick-object-attack: Type-specific adversarial attack for object detection
Omid Mohamad Nezami, Akshay Chaturvedi, Mark Dras, and Utpal Garain · 2020
Closest in time.
Heuristic black-box adversarial attacks on video recognition models
Zhipeng Wei, Jingjing Chen, Xingxing Wei, and Jiang Yugang · 2020
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Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks
Francesco Croce, Jonas Rauber, and Matthias Hein · 2020
Closest in time.
Viewpoint and scale consistency reinforcement for UAV vehicle re-identification
Shangzhi Teng, Shiliang Zhang, Qingming Huang, and Nicu Sebe · 2021
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