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Adversarial Defense Through Network Profiling Based Path Extraction

Adversarial Defense Through Network Profiling Based Path Extraction

17 April 2019
Yuxian Qiu
Jingwen Leng
Cong Guo
Quan Chen
C. Li
M. Guo
Yuhao Zhu
    AAML
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Papers citing "Adversarial Defense Through Network Profiling Based Path Extraction"

13 / 13 papers shown
Title
An Adversarial Robustness Perspective on the Topology of Neural Networks
An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert
Thomas Ricatte
Elvis Dohmatob
AAML
11
2
0
04 Nov 2022
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural
  Network Quantization
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization
Cong Guo
Chen Zhang
Jingwen Leng
Zihan Liu
Fan Yang
Yun-Bo Liu
Minyi Guo
Yuhao Zhu
MQ
16
55
0
30 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against
  Adversarial Machine Learning
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Mohammad Hossein Samavatian
Saikat Majumdar
Kristin Barber
R. Teodorescu
AAML
14
2
0
31 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under
  Unseen Distribution Shifts
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang
Junyuan Hong
Jiayu Zhou
Zhangyang Wang
OOD
53
11
0
04 Jul 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games
  on Selective Neurons
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
Xuanqi Gao
Juan Zhai
Shiqing Ma
Chao Shen
Yufei Chen
Qianqian Wang
25
36
0
06 Apr 2022
Characterizing and Demystifying the Implicit Convolution Algorithm on
  Commercial Matrix-Multiplication Accelerators
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators
Yangjie Zhou
Mengtian Yang
Cong Guo
Jingwen Leng
Yun Liang
Quan Chen
M. Guo
Yuhao Zhu
23
33
0
08 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Attack to Fool and Explain Deep Networks
Attack to Fool and Explain Deep Networks
Naveed Akhtar
M. Jalwana
Bennamoun
Ajmal Saeed Mian
AAML
22
33
0
20 Jun 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Yonggan Fu
Yongan Zhang
Yang Zhang
David D. Cox
Yingyan Lin
MQ
52
17
0
11 Jun 2021
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise
  Sparsity
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity
Cong Guo
B. Hsueh
Jingwen Leng
Yuxian Qiu
Yue Guan
Zehuan Wang
Xiaoying Jia
Xipeng Li
M. Guo
Yuhao Zhu
35
82
0
29 Aug 2020
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in
  Deep Neural Networks
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
Lorraine Chambers
M. Gaber
Z. Abdallah
16
4
0
08 Apr 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
284
5,835
0
08 Jul 2016
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