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DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of
  Ensembles

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

30 September 2020
Huanrui Yang
Jingyang Zhang
Hongliang Dong
Nathan Inkawhich
Andrew B. Gardner
Andrew Touchet
Wesley Wilkes
Heath Berry
H. Li
    AAML
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Papers citing "DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles"

17 / 17 papers shown
Title
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Yoojin Jung
Byung Cheol Song
AAML
VLM
MQ
41
0
0
07 Apr 2025
A Random Ensemble of Encrypted Vision Transformers for Adversarially
  Robust Defense
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense
Ryota Iijima
Sayaka Shiota
Hitoshi Kiya
36
6
0
11 Feb 2024
PubDef: Defending Against Transfer Attacks From Public Models
PubDef: Defending Against Transfer Attacks From Public Models
Chawin Sitawarin
Jaewon Chang
David Huang
Wesson Altoyan
David Wagner
AAML
39
6
0
26 Oct 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations
On the Robustness of Randomized Ensembles to Adversarial Perturbations
Hassan Dbouk
Naresh R Shanbhag
AAML
23
7
0
02 Feb 2023
A Transferable and Automatic Tuning of Deep Reinforcement Learning for
  Cost Effective Phishing Detection
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection
Orel Lavie
A. Shabtai
Gilad Katz
AAML
OffRL
30
1
0
19 Sep 2022
Decorrelative Network Architecture for Robust Electrocardiogram
  Classification
Decorrelative Network Architecture for Robust Electrocardiogram Classification
Christopher Wiedeman
Ge Wang
OOD
13
2
0
19 Jul 2022
Wavelet Regularization Benefits Adversarial Training
Wavelet Regularization Benefits Adversarial Training
Jun Yan
Huilin Yin
Xiaoyang Deng
Zi-qin Zhao
Wancheng Ge
Hao Zhang
Gerhard Rigoll
AAML
19
2
0
08 Jun 2022
3D Common Corruptions and Data Augmentation
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
51
107
0
02 Mar 2022
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive
  Framework for Improving Adversarial Robustness
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness
Jia-Li Yin
Lehui Xie
Wanqing Zhu
Ximeng Liu
Bo-Hao Chen
TTA
AAML
29
3
0
01 Dec 2021
Adaptive Perturbation for Adversarial Attack
Adaptive Perturbation for Adversarial Attack
Zheng Yuan
Jie Zhang
Zhaoyan Jiang
Liangliang Li
Shiguang Shan
AAML
27
3
0
27 Nov 2021
Disrupting Adversarial Transferability in Deep Neural Networks
Disrupting Adversarial Transferability in Deep Neural Networks
Christopher Wiedeman
Ge Wang
AAML
36
8
0
27 Aug 2021
On the Certified Robustness for Ensemble Models and Beyond
On the Certified Robustness for Ensemble Models and Beyond
Zhuolin Yang
Linyi Li
Xiaojun Xu
B. Kailkhura
Tao Xie
Bo-wen Li
AAML
29
48
0
22 Jul 2021
GradDiv: Adversarial Robustness of Randomized Neural Networks via
  Gradient Diversity Regularization
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization
Sungyoon Lee
Hoki Kim
Jaewook Lee
AAML
35
52
0
06 Jul 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation
Orthogonal Ensemble Networks for Biomedical Image Segmentation
Agostina J. Larrazabal
Cesar E. Martínez
Jose Dolz
Enzo Ferrante
UQCV
18
22
0
22 May 2021
Random Noise Defense Against Query-Based Black-Box Attacks
Random Noise Defense Against Query-Based Black-Box Attacks
Zeyu Qin
Yanbo Fan
H. Zha
Baoyuan Wu
AAML
27
59
0
23 Apr 2021
Ensemble-in-One: Learning Ensemble within Random Gated Networks for
  Enhanced Adversarial Robustness
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness
Yi Cai
Xuefei Ning
Huazhong Yang
Yu Wang
AAML
27
4
0
27 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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