v1v2 (latest)

SNIFF: Reverse Engineering of Neural Networks with Fault Attacks

23 February 2020

Yang Liu

Papers citing "SNIFF: Reverse Engineering of Neural Networks with Fault Attacks"

28 / 28 papers shown

Title
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits Jiawang Bai Baoyuan Wu Yong Zhang Yiming Li Zhifeng Li Shutao Xia AAML 82 75 0 21 Feb 2021
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips Fan Yao Adnan Siraj Rakin Deliang Fan AAML 83 161 0 30 Mar 2020
V0LTpwn: Attacking x86 Processor Integrity from Software Zijo Kenjar Tommaso Frassetto David Gens Michael Franz A. Sadeghi 52 90 0 10 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 532 42,591 0 03 Dec 2019
TBT: Targeted Neural Network Attack with Bit Trojan Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 59 215 0 10 Sep 2019
High Accuracy and High Fidelity Extraction of Neural Networks Matthew Jagielski Nicholas Carlini David Berthelot Alexey Kurakin Nicolas Papernot MLAU MIACV 81 380 0 03 Sep 2019
SCNIFFER: Low-Cost, Automated, Efficient Electromagnetic Side-Channel Sniffing Josef Danial Debayan Das Santosh K. Ghosh A. Raychowdhury Shreyas Sen 19 32 0 25 Aug 2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks Sanghyun Hong Pietro Frigo Yigitcan Kaya Cristiano Giuffrida Tudor Dumitras AAML 53 213 0 03 Jun 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
A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance A. Shamir Itay Safran Eyal Ronen O. Dunkelman GAN AAML 37 95 0 30 Jan 2019
Model Reconstruction from Model Explanations S. Milli Ludwig Schmidt Anca Dragan Moritz Hardt FAtt 61 178 0 13 Jul 2018
Stealing Hyperparameters in Machine Learning Binghui Wang Neil Zhenqiang Gong AAML 147 466 0 14 Feb 2018
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 186 5,607 0 21 Jul 2017
Multiple Fault Attack on PRESENT with a Hardware Trojan Implementation in FPGA J. Breier W. He 22 23 0 27 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,347 0 16 Nov 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 272 4,159 0 18 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,596 0 07 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 109 1,810 0 09 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 776 36,881 0 25 Aug 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 351 8,000 0 23 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 381 14,263 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015
Resiliency of Deep Neural Networks under Quantization Wonyong Sung Sungho Shin Kyuyeon Hwang MQ 60 157 0 20 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Qualitatively characterizing neural network optimization problems Ian Goodfellow Oriol Vinyals Andrew M. Saxe ODL 112 523 0 19 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 485 43,694 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014