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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
Retrospective: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors O. Mutlu 70 576 0 28 Jun 2023
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 115 31 0 14 Mar 2022
Training with Quantization Noise for Extreme Model Compression Angela Fan Pierre Stock Benjamin Graham Edouard Grave Remi Gribonval Hervé Jégou Armand Joulin MQ 93 245 0 15 Apr 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 224 1,855 0 03 Mar 2020
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation L. Hoang Muhammad Abdullah Hanif Mohamed Bennai AI4CE 55 116 0 02 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 88 992 0 29 Nov 2019
WITCHcraft: Efficient PGD attacks with random step size Ping Yeh-Chiang Jonas Geiping Micah Goldblum Tom Goldstein Renkun Ni Steven Reich Ali Shafahi AAML 49 11 0 18 Nov 2019
Fault Tolerance of Neural Networks in Adversarial Settings Vasisht Duddu N. Pillai D. V. Rao V. Balas SILM AAML 29 11 0 30 Oct 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 73 107 0 12 Oct 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 67 677 0 17 Sep 2019
Sparse and Imperceivable Adversarial Attacks Francesco Croce Matthias Hein AAML 97 199 0 11 Sep 2019
Adversarial Robustness Against the Union of Multiple Perturbation Models Pratyush Maini Eric Wong J. Zico Kolter OOD AAML 47 151 0 09 Sep 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 75 515 0 11 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 139 205 0 06 Jun 2019
MNIST-C: A Robustness Benchmark for Computer Vision Norman Mu Justin Gilmer 57 212 0 05 Jun 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 130 754 0 31 May 2019
Are Labels Required for Improving Adversarial Robustness? J. Uesato Jean-Baptiste Alayrac Po-Sen Huang Robert Stanforth Alhussein Fawzi Pushmeet Kohli AAML 74 334 0 31 May 2019
Batch Normalization is a Cause of Adversarial Vulnerability A. Galloway A. Golubeva T. Tanay M. Moussa Graham W. Taylor ODL AAML 66 80 0 06 May 2019
Adversarial Training and Robustness for Multiple Perturbations Florian Tramèr Dan Boneh AAML SILM 75 379 0 30 Apr 2019
Improving Noise Tolerance of Mixed-Signal Neural Networks M. Klachko M. Mahmoodi D. Strukov 39 29 0 02 Apr 2019
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 69 224 0 28 Mar 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 191 3,445 0 28 Mar 2019
Robustness of Neural Networks to Parameter Quantization A. Murthy Himel Das Md. Ariful Islam 22 5 0 26 Mar 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 140 2,559 0 24 Jan 2019
Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II) A. Goncharenko Andrey Denisov S. Alyamkin Evgeny Terentev MQ 47 20 0 19 Dec 2018
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations Jacob Dumford Walter J. Scheirer AAML 71 120 0 07 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 267 283 0 03 Dec 2018
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 184 187 0 02 Dec 2018
Efficient Neural Network Robustness Certification with General Activation Functions Huan Zhang Tsui-Wei Weng Pin-Yu Chen Cho-Jui Hsieh Luca Daniel AAML 93 763 0 02 Nov 2018
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation C. Liao Haoti Zhong Anna Squicciarini Sencun Zhu David J. Miller SILM 87 314 0 30 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 80 234 0 13 Aug 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 63 703 0 26 Jul 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 141 1,019 0 21 Jun 2018
On the Resilience of RTL NN Accelerators: Fault Characterization and Mitigation Behzad Salami O. Unsal A. Cristal 46 68 0 14 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 133 1,774 0 24 May 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 65 954 0 16 May 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 163 1,204 0 23 Apr 2018
Value-aware Quantization for Training and Inference of Neural Networks Eunhyeok Park S. Yoo Peter Vajda MQ 47 161 0 20 Apr 2018
Group Normalization Yuxin Wu Kaiming He 233 3,669 0 22 Mar 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 82 127 0 23 Feb 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 76 71 0 23 Feb 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 156 3,138 0 15 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 130 1,410 0 08 Dec 2017
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks Hardik Sharma Jongse Park Naveen Suda Liangzhen Lai Benson Chau Joo-Young Kim Vikas Chandra H. Esmaeilzadeh MQ 61 491 0 05 Dec 2017
Adaptive Quantization for Deep Neural Network Yiren Zhou Seyed-Mohsen Moosavi-Dezfooli Ngai-Man Cheung P. Frossard MQ 67 184 0 04 Dec 2017
Provable defenses against adversarial examples via the convex outer adversarial polytope Eric Wong J. Zico Kolter AAML 125 1,504 0 02 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 72 232 0 01 Nov 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 119 3,773 0 15 Aug 2017
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 Cho-Jui Hsieh AAML 83 1,882 0 14 Aug 2017
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization Yinpeng Dong Renkun Ni Jianguo Li Yurong Chen Jun Zhu Hang Su MQ 67 62 0 03 Aug 2017