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Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators

16 April 2021

David Stutz

Nandhini Chandramoorthy

Matthias Hein

Bernt Schiele

AAML

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Papers citing "Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators"

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Title
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles Jiajun Lu Hussein Sibai Evan Fabry David A. Forsyth AAML 84 282 0 12 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 310 12,117 0 19 Jun 2017
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 55 211 0 07 Jun 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,558 0 31 Mar 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 120 3,024 0 27 Mar 2017
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations N. Cheney Martin Schrimpf Gabriel Kreiman OOD 55 45 0 23 Mar 2017
Sharp Minima Can Generalize For Deep Nets Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio ODL 125 774 0 15 Mar 2017
Fixed-point optimization of deep neural networks with adaptive step size retraining Sungho Shin Yoonho Boo Wonyong Sung MQ 102 34 0 27 Feb 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 395 1,054 0 10 Feb 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu Basel Alomair AAML 140 1,741 0 08 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 149 1,867 0 22 Sep 2016
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou 56 120 0 22 Aug 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,579 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 545 5,909 0 08 Jul 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou MQ 122 2,090 0 20 Jun 2016
Deep neural networks are robust to weight binarization and other non-linear distortions P. Merolla R. Appuswamy John V. Arthur S. K. Esser D. Modha OOD MQ 88 96 0 07 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 351 7,995 0 23 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 175 4,368 0 16 Mar 2016
Significance Driven Hybrid 8T-6T SRAM for Energy-Efficient Synaptic Storage in Artificial Neural Networks G. Srinivasan Parami Wijesinghe Syed Shakib Sarwar Akhilesh R. Jaiswal Kaushik Roy 13 40 0 27 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,412 0 02 Dec 2015
Resiliency of Deep Neural Networks under Quantization Wonyong Sung Sungho Shin Kyuyeon Hwang MQ 58 157 0 20 Nov 2015
Fixed Point Quantization of Deep Convolutional Networks D. Lin S. Talathi V. Annapureddy MQ 95 816 0 19 Nov 2015
Learning with a Strong Adversary Ruitong Huang Bing Xu Dale Schuurmans Csaba Szepesvári AAML 79 358 0 10 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 212 2,990 0 02 Nov 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 91 458 0 02 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 332 18,647 0 06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 280 14,961 1 21 Dec 2013