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Automation Slicing and Testing for in-App Deep Learning Models

Automation Slicing and Testing for in-App Deep Learning Models

15 May 2022
Hao Wu
Yuhang Gong
Xiaopeng Ke
Hanzhong Liang
Minghao Li
Fengyuan Xu
Yunxin Liu
Sheng Zhong
ArXivPDFHTML

Papers citing "Automation Slicing and Testing for in-App Deep Learning Models"

5 / 5 papers shown
Title
IMAGINE: An Integrated Model of Artificial Intelligence-Mediated
  Communication Effects
IMAGINE: An Integrated Model of Artificial Intelligence-Mediated Communication Effects
F. Guerrero-Solé
19
0
0
13 Dec 2022
Smart at what cost? Characterising Mobile Deep Neural Networks in the
  wild
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
Mario Almeida
Stefanos Laskaridis
Abhinav Mehrotra
L. Dudziak
Ilias Leontiadis
Nicholas D. Lane
HAI
112
44
0
28 Sep 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
132
673
0
24 Jan 2021
Robustness of on-device Models: Adversarial Attack to Deep Learning
  Models on Android Apps
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
Yujin Huang
Han Hu
Chunyang Chen
AAML
FedML
74
33
0
12 Jan 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
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