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RANDOM MASK: Towards Robust Convolutional Neural Networks

RANDOM MASK: Towards Robust Convolutional Neural Networks

27 July 2020
Tiange Luo
Tianle Cai
Mengxiao Zhang
Siyu Chen
Liwei Wang
    AAML
    OOD
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Papers citing "RANDOM MASK: Towards Robust Convolutional Neural Networks"

14 / 14 papers shown
Title
Large-Scale Multi-omic Biosequence Transformers for Modeling Protein-Nucleic Acid Interactions
Large-Scale Multi-omic Biosequence Transformers for Modeling Protein-Nucleic Acid Interactions
Sully F. Chen
Robert J. Steele
Beakal Lemeneh
S. Lad
Eric Oermann
Eric K. Oermann
AI4CE
41
0
0
29 Aug 2024
ODG-Q: Robust Quantization via Online Domain Generalization
ODG-Q: Robust Quantization via Online Domain Generalization
Chaofan Tao
Ngai Wong
MQ
31
1
0
17 Oct 2022
SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution
SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution
Shwai He
Chenbo Jiang
Daize Dong
Liang Ding
38
5
0
05 Apr 2022
EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial
  Attacks
EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks
Yaguan Qian
Qiqi Shao
Jiamin Wang
Xiangyuan Lin
Yankai Guo
Zhaoquan Gu
Bin Wang
Chunming Wu
AAML
30
23
0
19 Sep 2020
Smooth Adversarial Training
Smooth Adversarial Training
Cihang Xie
Mingxing Tan
Boqing Gong
Alan Yuille
Quoc V. Le
OOD
22
152
0
25 Jun 2020
Analyzing the Noise Robustness of Deep Neural Networks
Analyzing the Noise Robustness of Deep Neural Networks
Kelei Cao
Mengchen Liu
Hang Su
Jing Wu
Jun Zhu
Shixia Liu
AAML
54
89
0
26 Jan 2020
Convergence of Adversarial Training in Overparametrized Neural Networks
Convergence of Adversarial Training in Overparametrized Neural Networks
Ruiqi Gao
Tianle Cai
Haochuan Li
Liwei Wang
Cho-Jui Hsieh
J. Lee
AAML
13
107
0
19 Jun 2019
Towards Compact and Robust Deep Neural Networks
Towards Compact and Robust Deep Neural Networks
Vikash Sehwag
Shiqi Wang
Prateek Mittal
Suman Jana
AAML
20
40
0
14 Jun 2019
Interpreting Adversarially Trained Convolutional Neural Networks
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang
Zhanxing Zhu
AAML
GAN
FAtt
25
157
0
23 May 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal
  Principle
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang
Tianyuan Zhang
Yiping Lu
Zhanxing Zhu
Bin Dong
AAML
14
356
0
02 May 2019
Interpreting Adversarial Examples by Activation Promotion and
  Suppression
Interpreting Adversarial Examples by Activation Promotion and Suppression
Kaidi Xu
Sijia Liu
Gaoyuan Zhang
Mengshu Sun
Pu Zhao
Quanfu Fan
Chuang Gan
X. Lin
AAML
FAtt
18
43
0
03 Apr 2019
Structured Adversarial Attack: Towards General Implementation and Better
  Interpretability
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu
Sijia Liu
Pu Zhao
Pin-Yu Chen
Huan Zhang
Quanfu Fan
Deniz Erdogmus
Yanzhi Wang
X. Lin
AAML
16
160
0
05 Aug 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
228
1,835
0
03 Feb 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
1