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Like all software systems, the execution of deep learning models is dictated in part by logic represented as data in memory.
Sergey Zagoruyko and Nikos Komodakis · 2004
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Nicolas Ruff · 2008
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Learning multiple layers of features from tiny images
Alex Krizhevsky · 2009
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The Linux programming interface: a Linux and UNIX system programming handbook
Michael Kerrisk · 2010
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Stuxnet: Dissecting a cyberwarfare weapon
Ralph Langner · 2011
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Before we knew it: an empirical study of zero-day attacks in the real world
Leyla Bilge and Tudor Dumitraş · 2012
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Volatility: An advanced memory forensics framework, 2013
Volatility Foundation · 2013
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Binwalk, 2013
ReFirm Labs · 2013
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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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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Adam: A method for stochastic optimization, 2014
Diederik P. Kingma and Jimmy Ba · 2014
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Mimicus: A python library for adversarial classifier evasion, 2014
Nedim Srndic and Pavel Laskov · 2014
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Machine learning: Trends, perspectives, and prospects
Michael I Jordan and Tom M Mitchell · 2015
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Advanced social engineering attacks
Katharina Krombholz, Heidelinde Hobel, Markus Huber, and Edgar Weippl · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Phil Muncaster · 2015
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End to end learning for self-driving cars, 2016
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, and Karol Zieba · 2016
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Udacity self-driving car project, 2016
Udacity · 2016
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Udacity driving reader, 2016
Ross Wightman · 2016
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Eigen, 2017
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Adversarial patch, 2017
Tom B. Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gilmer · 2017
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Interpretation of neural networks is fragile, 2017
Harini Kannan, Alexey Kurakin, and Ian J. Goodfellow · 2018
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Hu-fu: Hardware and software collaborative attack framework against neural networks
Wenshuo Li, Jincheng Yu, Xuefei Ning, Pengjun Wang, Qi Wei, Yu Wang, and Huazhong Yang · 2018
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Fine-pruning: Defending against backdooring attacks on deep neural networks
Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg · 2018
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Trojaning attack on neural networks
Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, and Xiangyu Zhang · 2018
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
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Amirata Ghorbani, Abubakar Abid, and James Zou · 2017
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Badnets: Identifying vulnerabilities in the machine learning model supply chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg · 2017
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Neural trojans, 2017
Yuntao Liu, Yang Xie, and Ankur Srivastava · 2017
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Towards poisoning of deep learning algorithms with back-gradient optimization
Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C Lupu, and Fabio Roli · 2017
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Deepxplore
Kexin Pei, Yinzhi Cao, Junfeng Yang, and Suman Jana · 2017
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Certified defenses for data poisoning attacks, 2017
Jacob Steinhardt, Pang Wei Koh, and Percy Liang · 2017
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Poison frogs! targeted clean-label poisoning attacks on neural networks, 2018
Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, and Tom Goldstein · 2018
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Poison frogs! targeted clean-label poisoning attacks on neural networks
Ali Shafahi, W Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, and Tom Goldstein · 2018
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Spectral signatures in backdoor attacks
Brandon Tran, Jerry Li, and Aleksander Madry · 2018
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Spectral signatures in backdoor attacks
Brandon Tran, Jerry Li, and Aleksander Madry · 2018
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Februus: Input purification defense against trojan attacks on deep neural network systems, 2019
Bao Gia Doan, Ehsan Abbasnejad, and Damith C. Ranasinghe · 2019
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Rethinking deep neural network ownership verification: Embedding passports to defeat ambiguity attacks
Lixin Fan, Kam Woh Ng, and Chee Seng Chan · 2019
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Strip: A defence against trojan attacks on deep neural networks
Yansong Gao, Change Xu, Derui Wang, Shiping Chen, Damith C Ranasinghe, and Surya Nepal · 2019
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Metric learning for adversarial robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, and Baishakhi Ray · 2019
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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 · 2019
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