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Adversarial examples are inputs to a machine learning system intentionally crafted by an attacker to fool the model into producing an incorrect output.
“Intelligent Systems Design for Malware Classification Under Adversarial Conditions”, 2019
Sean Devine and Nathaniel Bastian · 1907
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Rayan Mosli, Matthew Wright, Bo Yuan and Yin Pan · 1909
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“Efficient Training of Artificial Neural Networks for Autonomous Navigation”
Dean. Pomerleau · 1991
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“A genetic algorithm tutorial”
Darrell Whitley · 1994
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“Machine Learning”
Thomas. Mitchell · 1997
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“Neural network applications in business: A review and analysis of the literature (1988–1995)”
Bo Wong, Thomas Bodnovich and Yakup Selvi · 1997
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“Business data mining — a machine learning perspective”
Indranil Bose and Radha. Mahapatra · 2001
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“Adversarial Classification”
Nilesh Dalvi, Pedro Domingos, Mausam, Sumit Sanghai and Deepak Verma · 2004
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“Adversarial learning”
Daniel Lowd and Christopher Meek · 2005
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“Can machine learning be secure?”
Marco Barreno, Blaine Nelson, Russell Sears, Anthony. Joseph and J.. Tygar · 2006
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“Authorship Attribution”
Patrick Juola · 2006
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“Machine learning approach to authorship attribution of literary texts”
Urszula Sta“’nczyk and Krzysztof Cyran · 2007
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“A Detailed Analysis of the KDD CUP 99 Data Set”
Mahbod Tavallaee, Ebrahim Bagheri, Wei Lu and Ali. Ghorbani · 2009
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“The security of machine learning”
Marco Barreno, Blaine Nelson, Anthony. Joseph and J.. Tygar · 2010
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“Particle swarm optimization”
Maurice Clerc · 2010
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“Intriguing properties of neural networks”, 2013
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow and Rob Fergus · 2013
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“Generative Adversarial Nets”
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville and Yoshua Bengio · 2014
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“Explaining and Harnessing Adversarial Examples”, 2014
Ian. Goodfellow, Jonathon Shlens and Christian Szegedy · 2014
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“Machine learning applications in cancer prognosis and prediction”
Konstantina Kourou, Themis. Exarchos, Konstantinos. Exarchos, Michalis. Karamouzis and Dimitrios. Fotiadis · 2014
Cited alongside, same era.
“Very deep convolutional networks for large-scale image recognition”
Karen Simonyan and Andrew Zisserman · 2014
Cited alongside, same era.
“Sequence to sequence learning with neural networks”
Ilya Sutskever, Oriol Vinyals and Quoc Le · 2014
Cited alongside, same era.
“Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification”
Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun · 2015
Cited alongside, same era.
“Analysis of network traffic features for anomaly detection”
Félix Iglesias and Tanja Zseby · 2015
Cited alongside, same era.
“Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN”, 2017
Weiwei Hu and Ying Tan · 2017
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“Attention Is All You Need”, 2017
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan. Gomez, Lukasz Kaiser and Illia Polosukhin · 2017
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“Generative Poisoning Attack Method Against Neural Networks” arXiv: 1703.01340
Chaofei Yang, Qing Wu, Hai Li and Yiran Chen · 2017
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“Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey”
Naveed Akhtar and Ajmal Mian · 2018
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“The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation”
Mia Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George Foster, Llion Jones, Mike Schuster, Noam Shazeer, Niki Parmar and et al · 2018
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N. Moustafa and J. Slay · 2015
Cited alongside, same era.
“The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set”
Nour Moustafa and Jill Slay · 2015
Cited alongside, same era.
“Deep neural networks are easily fooled: High confidence predictions for unrecognizable images”
Anh Nguyen, Jason Yosinski and Jeff Clune · 2015
Cited alongside, same era.
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes and Patrick McDaniel · 2016
Cited alongside, same era.
“Deep Residual Learning for Image Recognition”
Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun · 2016
Cited alongside, same era.
“DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks”
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi and Pascal Frossard · 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.
Later among the works it cites.
“Adversarial Examples that Fool both Computer Vision and Time-Limited Humans”
Gamaleldin Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian Goodfellow and Jascha Sohl-Dickstein · 2018
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“PySwarms: a research toolkit for Particle Swarm Optimization in Python”
Lester James V · 2018
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“Accelerating Recurrent Neural Network Language Model Based Online Speech Recognition System”
Kyungmin Lee, Chiyoun Park, Namhoon Kim and Jaewon Lee · 2018
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Zilong Lin, Yong Shi and Zhi Xue · 2018
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“A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View”
Qiang Liu, Pan Li, Wentao Zhao, Wei Cai, Shui Yu and Victor C.. Leung · 2018
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“Adversarial Examples - A Complete Characterisation of the Phenomenon”, 2018
Alexandru Serban, Erik Poll and Joost Visser · 2018
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“Adversarial Examples in Constrained Domains”
R.M. Sheatsley · 2018
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“Adversarial Machine Learning”, Synthesis Lectures on Artificial Intelligence and Machine Learning
Y. Vorobeychik, M. Kantarcioglu, R. Brachman, P. Stone and F. Rossi · 2018
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“Deep Learning for Environmentally Robust Speech Recognition”
Zixing Zhang, Jürgen Geiger, Jouni Pohjalainen, Amr El-Desoky Mousa, Wenyu Jin and Björn Schuller · 2018
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“GenAttack: Practical Black-Box Attacks with Gradient-Free Optimization”
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh and Mani. Srivastava · 2019
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“Adversarial Machine Learning”
A.D. Joseph, B. Nelson, B.I.P. Rubinstein and J.D. Tygar · 2019
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“Evaluating Evasion Attack Methods on Binary Network Traffic Classifiers”
Rishi Shah, Jeff Gaston, Matthew Harvey, Michael McNamara, Osvaldo Ramos, Yeonsang You and Elie Alhajjar · 2019
Later among the works it cites.