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SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy
  Efficiency of Inference Efficient Vision Transformers

SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers

4 October 2023
K. Navaneet
Soroush Abbasi Koohpayegani
Essam Sleiman
Hamed Pirsiavash
    AAMLViT
ArXiv (abs)PDFHTML

Papers citing "SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers"

37 / 37 papers shown
Title
Token Merging: Your ViT But Faster
Token Merging: Your ViT But Faster
Daniel Bolya
Cheng-Yang Fu
Xiaoliang Dai
Peizhao Zhang
Christoph Feichtenhofer
Judy Hoffman
MoMe
108
458
0
17 Oct 2022
On The Computational Complexity of Self-Attention
On The Computational Complexity of Self-Attention
Feyza Duman Keles
Pruthuvi Maheshakya Wijewardena
Chinmay Hegde
122
125
0
11 Sep 2022
SimA: Simple Softmax-free Attention for Vision Transformers
SimA: Simple Softmax-free Attention for Vision Transformers
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
85
26
0
17 Jun 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Y. Fu
Shunyao Zhang
Shan-Hung Wu
Cheng Wan
Yingyan Lin
AAML
80
67
0
16 Mar 2022
AdaViT: Adaptive Tokens for Efficient Vision Transformer
AdaViT: Adaptive Tokens for Efficient Vision Transformer
Hongxu Yin
Arash Vahdat
J. Álvarez
Arun Mallya
Jan Kautz
Pavlo Molchanov
ViT
107
340
0
14 Dec 2021
MetaFormer Is Actually What You Need for Vision
MetaFormer Is Actually What You Need for Vision
Weihao Yu
Mi Luo
Pan Zhou
Chenyang Si
Yichen Zhou
Xinchao Wang
Jiashi Feng
Shuicheng Yan
170
911
0
22 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
467
7,814
0
11 Nov 2021
SOFT: Softmax-free Transformer with Linear Complexity
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu
Jinghan Yao
Junge Zhang
Martin Danelljan
Hang Xu
Weiguo Gao
Chunjing Xu
Thomas B. Schon
Li Zhang
65
166
0
22 Oct 2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng
Alex Schwing
Alexander Kirillov
VLMViT
210
1,548
0
13 Jul 2021
XCiT: Cross-Covariance Image Transformers
XCiT: Cross-Covariance Image Transformers
Alaaeldin El-Nouby
Hugo Touvron
Mathilde Caron
Piotr Bojanowski
Matthijs Douze
...
Ivan Laptev
Natalia Neverova
Gabriel Synnaeve
Jakob Verbeek
Hervé Jégou
ViT
144
511
0
17 Jun 2021
DynamicViT: Efficient Vision Transformers with Dynamic Token
  Sparsification
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Yongming Rao
Wenliang Zhao
Benlin Liu
Jiwen Lu
Jie Zhou
Cho-Jui Hsieh
ViT
90
699
0
03 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
455
21,439
0
25 Mar 2021
DeepViT: Towards Deeper Vision Transformer
DeepViT: Towards Deeper Vision Transformer
Daquan Zhou
Bingyi Kang
Xiaojie Jin
Linjie Yang
Xiaochen Lian
Zihang Jiang
Qibin Hou
Jiashi Feng
ViT
99
522
0
22 Mar 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
194
2,908
0
31 Dec 2020
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
389
6,793
0
23 Dec 2020
Point Transformer
Point Transformer
Nico Engel
Vasileios Belagiannis
Klaus C. J. Dietmayer
3DPC
181
1,994
0
02 Nov 2020
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit
  Neural Network Inference
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
Sanghyun Hong
Yigitcan Kaya
Ionut-Vlad Modoranu
Tudor Dumitras
AAML
59
71
0
06 Oct 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear
  Attention
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Angelos Katharopoulos
Apoorv Vyas
Nikolaos Pappas
Franccois Fleuret
201
1,771
0
29 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
421
13,048
0
26 May 2020
Axial Attention in Multidimensional Transformers
Axial Attention in Multidimensional Transformers
Jonathan Ho
Nal Kalchbrenner
Dirk Weissenborn
Tim Salimans
110
532
0
20 Dec 2019
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Thomas Verelst
Tinne Tuytelaars
57
152
0
06 Dec 2019
Dynamic Channel Pruning: Feature Boosting and Suppression
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao
Yiren Zhao
Łukasz Dudziak
Robert D. Mullins
Chengzhong Xu
76
317
0
12 Oct 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
55
180
0
29 May 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
78
1,097
0
27 Dec 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
101
639
0
26 Nov 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,858
0
17 Apr 2017
Adversarial Examples for Semantic Segmentation and Object Detection
Adversarial Examples for Semantic Segmentation and Object Detection
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Yuyin Zhou
Lingxi Xie
Alan Yuille
GANAAML
104
933
0
24 Mar 2017
Detecting Adversarial Samples from Artifacts
Detecting Adversarial Samples from Artifacts
Reuben Feinman
Ryan R. Curtin
S. Shintre
Andrew B. Gardner
AAML
93
894
0
01 Mar 2017
Adaptive Neural Networks for Efficient Inference
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi
Joseph Wang
O. Dekel
Venkatesh Saligrama
51
357
0
25 Feb 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
196
2,533
0
02 Nov 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
195
3,697
0
31 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILMAAML
543
5,897
0
08 Jul 2016
Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
114
547
0
29 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
172
4,368
0
16 Mar 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
250
9,326
0
14 Dec 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
280
19,066
0
20 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
277
14,927
1
21 Dec 2013
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