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The high energy costs of neural network training and inference led to the use of acceleration hardware such as GPUs and TPUs.
A limited memory algorithm for bound constrained optimization
Richard H Byrd, Peihuang Lu, Jorge Nocedal, and Ciyou Zhu · 1995
Earlier work this paper cites.
rfc2827: network ingress filtering: defeating denial of service attacks which employ ip source address spoofing, 2000
Paul Ferguson and Daniel Senie · 2000
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A static power model for architects
J Adam Butts and Gurindar S Sohi · 2000
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802.11 denial-of-service attacks: Real vulnerabilities and practical solutions
John Bellardo and Stefan Savage · 2003
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Denial-of-service attacks on battery-powered mobile computers
Thomas Martin, Michael Hsiao, Dong Ha, and Jayan Krishnaswami · 2004
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The price of performance
Luiz André Barroso · 2005
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Moses: Open source toolkit for statistical machine translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, et al · 2007
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Exploiting machine learning to subvert your spam filter
Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D Joseph, Benjamin IP Rubinstein, Udam Saini, Charles A Sutton, J Doug Tygar, and Kai Xia · 2008
Earlier work this paper cites.
Sensor network security: a survey
Xiangqian Chen, Kia Makki, Kang Yen, and Niki Pissinou · 2009
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Financial market time series prediction with recurrent neural networks
Armando Bernal, Sam Fok, and Rohit Pidaparthi · 2012
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Measuring energy consumption for short code paths using rapl
Marcus Hähnel, Björn Döbel, Marcus Völp, and Hermann Härtig · 2012
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Techniques to measure, model, and manage power
Bhavishya Goel, Sally A McKee, and Magnus Själander · 2012
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Evasion attacks against machine learning at test time
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Šrndić, Pavel Laskov, Giorgio Giacinto, and Fabio Roli · 2013
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Power attack: An increasing threat to data centers
Zhang Xu, Haining Wang, Zichen Xu, and Xiaorui Wang · 2014
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Multimedia-based battery drain attacks for android devices
Ugo Fiore, Francesco Palmieri, Aniello Castiglione, Vincenzo Loia, and Alfredo De Santis · 2014
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Energy aware race to halt: A down to earth approach for platform energy management
R. Efraim, R. Ginosar, C. Weiser, and A. Mendelson · 2014
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1.1 computing’s energy problem (and what we can do about it)
M. Horowitz · 2014
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Energy-oriented denial of service attacks: an emerging menace for large cloud infrastructures
Francesco Palmieri, Sergio Ricciardi, Ugo Fiore, Massimo Ficco, and Aniello Castiglione · 2015
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A measurement study on co-residence threat inside the cloud
Zhang Xu, Haining Wang, and Zhenyu Wu · 2015
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2015
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Towards the science of security and privacy in machine learning
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha, and Michael Wellman · 2016
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Binarized-blstm-rnn based human activity recognition
Marcus Edel and Enrico Köppe · 2016
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Intel architecture instruction set extensions programming reference
Intel Intel · 2016
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Eie: efficient inference engine on compressed deep neural network
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A Horowitz, and William J Dally · 2016
Cited alongside, same era.
Power attack defense: Securing battery-backed data centers
Chao Li, Zhenhua Wang, Xiaofeng Hou, Haopeng Chen, Xiaoyao Liang, and Minyi Guo · 2016
Cited alongside, same era.
Ddos attacks in cloud computing: Collateral damage to non-targets
Gaurav Somani, Manoj Singh Gaur, Dheeraj Sanghi, and Mauro Conti · 2016
Cited alongside, same era.
Automatically evading classifiers
Weilin Xu, Yanjun Qi, and David Evans · 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.
Membership inference attacks against machine learning models
Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov · 2017
Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman · 2018
Later among the works it cites.
Scaling neural machine translation
Myle Ott, Sergey Edunov, David Grangier, and Michael Auli · 2018
Later among the works it cites.
Understanding back-translation at scale
Sergey Edunov, Myle Ott, Michael Auli, and David Grangier · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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On the effectiveness of interval bound propagation for training verifiably robust models
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Cited alongside, same era.
In-datacenter performance analysis of a tensor processing unit
Norman P Jouppi, Cliff Young, Nishant Patil, David Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, et al · 2017
Cited alongside, same era.
An on-device deep neural network for face detection
Computer Vision Machine Learning Team · 2017
Cited alongside, same era.
Practical black-box attacks against machine learning
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z Berkay Celik, and Ananthram Swami · 2017
Cited alongside, same era.
Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, and Cho-Jui Hsieh · 2017
Cited alongside, same era.
An introduction to information security
Michael Nieles, Kelley Dempsey, and Victoria Pillitteri · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Mann, and Pushmeet Kohli · 2018
Later among the works it cites.
Terminal brain damage: Exposing the graceless degradation in deep neural networks under hardware fault attacks
Sanghyun Hong, Pietro Frigo, Yigitcan Kaya, Cristiano Giuffrida, and Tudor Dumitras · 2019
Later among the works it cites.
Spectre attacks: Exploiting speculative execution
Paul Kocher, Jann Horn, Anders Fogh, Daniel Genkin, Daniel Gruss, Werner Haas, Mike Hamburg, Moritz Lipp, Stefan Mangard, Thomas Prescher, et al · 2019
Later among the works it cites.
Energy and policy considerations for deep learning in nlp
Emma Strubell, Ananya Ganesh, and Andrew McCallum · 2019
Later among the works it cites.
Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices
Yu-Hsin Chen, Tien-Ju Yang, Joel Emer, and Vivienne Sze · 2019
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Automatic generation of multi-precision multi-arithmetic cnn accelerators for fpgas
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert Mullins, Peter YK Cheung, George Constantinides, and Cheng-Zhong Xu · 2019
Later among the works it cites.
Alessandro Erba, Riccardo Taormina, Stefano Galelli, Marcello Pogliani, Michele Carminati, Stefano Zanero, and Nils Ole Tippenhauer · 2019
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Characterizing sources of ineffectual computations in deep learning networks
Miloš Nikolić, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, and Robert Mullins · 2019
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Channel gating neural networks
Weizhe Hua, Yuan Zhou, Christopher M De Sa, Zhiru Zhang, and G Edward Suh · 2019
Later among the works it cites.
fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli · 2019
Later among the works it cites.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
Later among the works it cites.
Superglue: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman · 2019
Later among the works it cites.
Facebook fair’s WMT19 news translation task submission
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, and Sergey Edunov · 2019
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Facebook fair’s wmt19 news translation task submission
Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, and Sergey Edunov · 2019
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Quantifying the carbon emissions of machine learning
Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, and Thomas Dandres · 2019
Later among the works it cites.
Estimation of energy consumption in machine learning
Eva García-Martín, Crefeda Faviola Rodrigues, Graham Riley, and Håkan Grahn · 2019
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Label-only membership inference attacks
Christopher A Choquette Choo, Florian Tramer, Nicholas Carlini, and Nicolas Papernot · 2020
Closest in time.
Xilinx vitis unified software platform
Vinod Kathail · 2020
Closest in time.
Fast is better than free: Revisiting adversarial training, 2020
Eric Wong, Leslie Rice, and J. Zico Kolter · 2020
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Stateful detection of black-box adversarial attacks
Steven Chen, Nicholas Carlini, and David Wagner · 2020
Closest in time.
Towards certifiable adversarial sample detection
Ilia Shumailov, Yiren Zhao, Robert Mullins, and Ross Anderson · 2020
Closest in time.
Towards the systematic reporting of the energy and carbon footprints of machine learning
Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, and Joelle Pineau · 2020
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