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DeepPerform: An Efficient Approach for Performance Testing of
  Resource-Constrained Neural Networks
v1v2 (latest)

DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks

10 October 2022
Simin Chen
Mirazul Haque
Cong Liu
Wei Yang
ArXiv (abs)PDFHTML

Papers citing "DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks"

38 / 38 papers shown
Title
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image
  Caption Generation Models
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
Simin Chen
Zihe Song
Mirazul Haque
Cong Liu
Wei Yang
56
41
0
29 Mar 2022
Resolution Adaptive Networks for Efficient Inference
Resolution Adaptive Networks for Efficient Inference
Le Yang
Yizeng Han
Xi Chen
Shiji Song
Jifeng Dai
Gao Huang
68
219
0
16 Mar 2020
ALERT: Accurate Learning for Energy and Timeliness
ALERT: Accurate Learning for Energy and Timeliness
Chengcheng Wan
M. Santriaji
E. Rogers
H. Hoffmann
Michael Maire
Shan Lu
AI4CE
69
42
0
31 Oct 2019
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition
Chenxu Luo
Alan Yuille
165
152
0
28 Sep 2019
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving
  Systems
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems
Husheng Zhou
Wei Li
Yuankun Zhu
Yuqun Zhang
Bei Yu
Lingming Zhang
Cong Liu
AAML
72
179
0
27 Dec 2018
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
169
3,282
0
10 Dec 2018
AutoFocus: Efficient Multi-Scale Inference
AutoFocus: Efficient Multi-Scale Inference
Mahyar Najibi
Bharat Singh
L. Davis
ObjD
89
128
0
04 Dec 2018
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Zuxuan Wu
Caiming Xiong
Chih-Yao Ma
R. Socher
L. Davis
184
200
0
29 Nov 2018
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU
  Computers
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers
J. Pedoeem
Rachel Huang
ObjD
68
506
0
14 Nov 2018
Adversarial Attacks on Node Embeddings via Graph Poisoning
Adversarial Attacks on Node Embeddings via Graph Poisoning
Aleksandar Bojchevski
Stephan Günnemann
AAML
65
307
0
04 Sep 2018
Adversarial Perturbations Against Real-Time Video Classification Systems
Adversarial Perturbations Against Real-Time Video Classification Systems
Shasha Li
Ajaya Neupane
S. Paul
Chengyu Song
S. Krishnamurthy
Amit K. Roy-Chowdhury
A. Swami
AAML
83
119
0
02 Jul 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
57
180
0
29 May 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNNAAMLOOD
159
1,071
0
21 May 2018
ECO: Efficient Convolutional Network for Online Video Understanding
ECO: Efficient Convolutional Network for Online Video Understanding
Mohammadreza Zolfaghari
Kamaljeet Singh
Thomas Brox
185
499
0
24 Apr 2018
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Lei Ma
Felix Juefei Xu
Fuyuan Zhang
Jiyuan Sun
Minhui Xue
...
Ting Su
Li Li
Yang Liu
Jianjun Zhao
Yadong Wang
ELM
67
622
0
20 Mar 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
243
3,194
0
01 Feb 2018
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OODGNN
95
385
0
30 Nov 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
103
640
0
26 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
95
469
0
22 Nov 2017
Dynamic Zoom-in Network for Fast Object Detection in Large Images
Dynamic Zoom-in Network for Fast Object Detection in Large Images
M. Gao
Ruichi Yu
Ang Li
Vlad I. Morariu
L. Davis
ObjD
78
129
0
14 Nov 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon
Bradley McDanel
H. T. Kung
UQCV
99
1,151
0
06 Sep 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous
  Cars
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
AAML
70
1,360
0
28 Aug 2017
SlowFuzz: Automated Domain-Independent Detection of Algorithmic
  Complexity Vulnerabilities
SlowFuzz: Automated Domain-Independent Detection of Algorithmic Complexity Vulnerabilities
Theofilos Petsios
Jason Zhao
A. Keromytis
Suman Jana
43
196
0
28 Aug 2017
Adversarial Examples for Evaluating Reading Comprehension Systems
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia
Percy Liang
AAMLELM
209
1,609
0
23 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
317
12,131
0
19 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
786
132,363
0
12 Jun 2017
Adaptive Classification for Prediction Under a Budget
Adaptive Classification for Prediction Under a Budget
Feng Nan
Venkatesh Saligrama
79
63
0
26 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
105
1,371
0
18 May 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
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
253
2,686
0
23 Jan 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs
  by Selective Execution
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu
Jia Deng
95
205
0
02 Jan 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
282
8,583
0
16 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILMAAML
547
5,910
0
08 Jul 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
263
8,859
0
01 Oct 2015
Listen, Attend and Spell
Listen, Attend and Spell
William Chan
Navdeep Jaitly
Quoc V. Le
Oriol Vinyals
RALM
156
2,269
0
05 Aug 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,121
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
284
14,963
1
21 Dec 2013
Low-Rank Approximations for Conditional Feedforward Computation in Deep
  Neural Networks
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks
Andrew S. Davis
I. Arel
101
80
0
16 Dec 2013
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