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Many deep learning algorithms can be easily fooled with simple adversarial examples.
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
G. Hinton, L. Deng, D. Yu, G. E. Dahl, A. r Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath, and B. Kingsbury · 2012
Earlier work this paper cites.
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
Earlier work this paper cites.
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
Earlier work this paper cites.
Explaining and Harnessing Adversarial Examples
Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Earlier work this paper cites.
Adversarial Perturbations Against Deep Neural Networks for Malware Classification
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, and Patrick McDaniel · 2016
Cited alongside, same era.
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot, Patrick McDaniel, and Ian Goodfellow · 2016
Cited alongside, same era.
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples
Thomas Tanay and Lewis Griffin · 2016
Cited alongside, same era.
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini and David Wagner · 2016
Cited alongside, same era.
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng and Hao Chen · 2017
Later among the works it cites.
Sailik Sengupta, Tathagata Chakraborti, and Subbarao Kambhampati · 2017
Later among the works it cites.
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini and David Wagner · 2017
Later among the works it cites.
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini and David Wagner · 2018
Closest in time.
CHARACTERIZING ADVERSARIAL SUBSPACES USING LOCAL INTRINSIC DIMENSIONALITY
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Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2016
Cited alongside, same era.
The Space of Transferable Adversarial Examples
Florian Tramèr, Nicolas Papernot, Ian Goodfellow, Dan Boneh, and Patrick McDaniel · 2017
Cited alongside, same era.
DELVING INTO TRANSFERABLE ADVERSARIAL EX- AMPLES AND BLACK-BOX ATTACKS
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song
Cited in the paper.
Deep Metric Learning Using Triplet Network
Elad Hoffer and Nir Ailon
Cited in the paper.
Xingjun Ma, Bo Li, Yisen Wang, Sarah M Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E Houle, and James Bailey · 2018
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Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, and Ian Goodfellow · 2018
Closest in time.