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Ensemble Generative Cleaning with Feedback Loops for Defending
  Adversarial Attacks

Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks

23 April 2020
Jianhe Yuan
Zhihai He
    AAML
ArXivPDFHTML

Papers citing "Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks"

12 / 12 papers shown
Title
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by
  Regularizing Unwanted Noise
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise
Zhixun He
Mukesh Singhal
33
1
0
05 Jun 2024
LRR: Language-Driven Resamplable Continuous Representation against
  Adversarial Tracking Attacks
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks
Jianlang Chen
Xuhong Ren
Qing Guo
Felix Juefei Xu
Di Lin
Wei Feng
Lei Ma
Jianjun Zhao
49
1
0
09 Apr 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With
  FGSM
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
Linyu Tang
Lei Zhang
AAML
35
3
0
18 Mar 2024
Defense against Adversarial Cloud Attack on Remote Sensing Salient
  Object Detection
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection
Huiming Sun
Lan Fu
Jinlong Li
Qing Guo
Zibo Meng
Tianyun Zhang
Yuewei Lin
Hongkai Yu
AAML
24
9
0
30 Jun 2023
A Survey on the Robustness of Computer Vision Models against Common
  Corruptions
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OOD
VLM
35
11
0
10 May 2023
DISCO: Adversarial Defense with Local Implicit Functions
DISCO: Adversarial Defense with Local Implicit Functions
Chih-Hui Ho
Nuno Vasconcelos
AAML
34
38
0
11 Dec 2022
An Eye for an Eye: Defending against Gradient-based Attacks with
  Gradients
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients
Hanbin Hong
Yuan Hong
Yu Kong
AAML
35
2
0
02 Feb 2022
AGKD-BML: Defense Against Adversarial Attack by Attention Guided
  Knowledge Distillation and Bi-directional Metric Learning
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning
Hong Wang
Yuefan Deng
Shinjae Yoo
Haibin Ling
Yuewei Lin
AAML
32
15
0
13 Aug 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 Mian
Navid Kardan
M. Shah
AAML
31
236
0
01 Aug 2021
Towards Robust Neural Networks via Orthogonal Diversity
Towards Robust Neural Networks via Orthogonal Diversity
Kun Fang
Qinghua Tao
Yingwen Wu
Tao Li
Jia Cai
Feipeng Cai
Xiaolin Huang
Jie-jin Yang
AAML
41
8
0
23 Oct 2020
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
69
264
0
30 Nov 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
1