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Feature Denoising for Improving Adversarial Robustness

Feature Denoising for Improving Adversarial Robustness

9 December 2018
Cihang Xie
Yuxin Wu
L. V. D. van der Maaten
Alan Yuille
Kaiming He
ArXivPDFHTML

Papers citing "Feature Denoising for Improving Adversarial Robustness"

50 / 478 papers shown
Title
Differentiable Search of Accurate and Robust Architectures
Differentiable Search of Accurate and Robust Architectures
Yuwei Ou
Xiangning Xie
Shan Gao
Yanan Sun
Kay Chen Tan
Jiancheng Lv
OOD
AAML
36
1
0
28 Dec 2022
Learned Systems Security
Learned Systems Security
R. Schuster
Jinyi Zhou
Thorsten Eisenhofer
Paul Grubbs
Nicolas Papernot
AAML
14
2
0
20 Dec 2022
Mitigating Artifacts in Real-World Video Super-Resolution Models
Mitigating Artifacts in Real-World Video Super-Resolution Models
Liangbin Xie
Xintao Wang
Shu Shi
Jinjin Gu
Chao Dong
Ying Shan
46
17
0
14 Dec 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a
  Robust Adversarial Defense
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
Bao Gia Doan
Ehsan Abbasnejad
Javen Qinfeng Shi
Damith Ranashinghe
AAML
OOD
26
8
0
05 Dec 2022
Recognizing Object by Components with Human Prior Knowledge Enhances
  Adversarial Robustness of Deep Neural Networks
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks
Xiao-Li Li
Ziqi Wang
Bo-Wen Zhang
Gang Hua
Xiaolin Hu
32
25
0
04 Dec 2022
Advancing Deep Metric Learning Through Multiple Batch Norms And
  Multi-Targeted Adversarial Examples
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples
Inderjeet Singh
Kazuya Kakizaki
Toshinori Araki
AAML
OOD
29
0
0
29 Nov 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Xiaoyue Duan
Guoliang Kang
Runqi Wang
Shumin Han
Shenjun Xue
Tian Wang
Baochang Zhang
29
2
0
28 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Zhengyu Zhao
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
27
20
0
17 Nov 2022
Accelerating Certified Robustness Training via Knowledge Transfer
Accelerating Certified Robustness Training via Knowledge Transfer
Pratik Vaishnavi
Kevin Eykholt
Amir Rahmati
24
7
0
25 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep
  Neural Network
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network
Hua Hua
Jun Yan
Xi Fang
Weiquan Huang
Huilin Yin
Wancheng Ge
AAML
25
1
0
25 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML
Ares: A System-Oriented Wargame Framework for Adversarial ML
Farhan Ahmed
Pratik Vaishnavi
Kevin Eykholt
Amir Rahmati
AAML
23
7
0
24 Oct 2022
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial
  Robustness Games
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games
Maria-Florina Balcan
Rattana Pukdee
Pradeep Ravikumar
Hongyang R. Zhang
AAML
39
12
0
23 Oct 2022
ODG-Q: Robust Quantization via Online Domain Generalization
ODG-Q: Robust Quantization via Online Domain Generalization
Chaofan Tao
Ngai Wong
MQ
39
1
0
17 Oct 2022
Visual Prompting for Adversarial Robustness
Visual Prompting for Adversarial Robustness
Aochuan Chen
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLM
VPVLM
40
32
0
12 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Zeyu Qin
Yanbo Fan
Yi Liu
Li Shen
Yong Zhang
Jue Wang
Baoyuan Wu
AAML
SILM
29
80
0
12 Oct 2022
Revisiting adapters with adversarial training
Revisiting adapters with adversarial training
Sylvestre-Alvise Rebuffi
Francesco Croce
Sven Gowal
AAML
36
16
0
10 Oct 2022
Pruning Adversarially Robust Neural Networks without Adversarial
  Examples
Pruning Adversarially Robust Neural Networks without Adversarial Examples
T. Jian
Zifeng Wang
Yanzhi Wang
Jennifer Dy
Stratis Ioannidis
AAML
VLM
47
11
0
09 Oct 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Shengming Yuan
Qilong Zhang
Lianli Gao
Yaya Cheng
Jingkuan Song
AAML
24
42
0
05 Oct 2022
Learning Robust Kernel Ensembles with Kernel Average Pooling
Learning Robust Kernel Ensembles with Kernel Average Pooling
P. Bashivan
Adam Ibrahim
Amirozhan Dehghani
Yifei Ren
OOD
24
5
0
30 Sep 2022
Part-Based Models Improve Adversarial Robustness
Part-Based Models Improve Adversarial Robustness
Chawin Sitawarin
Kornrapat Pongmala
Yizheng Chen
Nicholas Carlini
David Wagner
44
11
0
15 Sep 2022
Improving Robust Fairness via Balance Adversarial Training
Improving Robust Fairness via Balance Adversarial Training
Chunyu Sun
Chenye Xu
Chengyuan Yao
Siyuan Liang
Yichao Wu
Ding Liang
XiangLong Liu
Aishan Liu
23
11
0
15 Sep 2022
Federated Learning based on Defending Against Data Poisoning Attacks in
  IoT
Federated Learning based on Defending Against Data Poisoning Attacks in IoT
Jiayin Li
Wenzhong Guo
Xingshuo Han
Jianping Cai
Ximeng Liu
AAML
83
1
0
14 Sep 2022
Bag of Tricks for FGSM Adversarial Training
Bag of Tricks for FGSM Adversarial Training
Zichao Li
Li Liu
Zeyu Wang
Yuyin Zhou
Cihang Xie
AAML
33
6
0
06 Sep 2022
Robust Prototypical Few-Shot Organ Segmentation with Regularized
  Neural-ODEs
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs
Prashant Pandey
Mustafa Chasmai
Tanuj Sur
Brejesh Lall
22
11
0
26 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier
  Guidance
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar
Roy Ganz
Michael Elad
DiffM
29
38
0
18 Aug 2022
Blackbox Attacks via Surrogate Ensemble Search
Blackbox Attacks via Surrogate Ensemble Search
Zikui Cai
Chengyu Song
S. Krishnamurthy
A. Roy-Chowdhury
Ulugbek S. Kamilov
AAML
22
19
0
07 Aug 2022
Robust Real-World Image Super-Resolution against Adversarial Attacks
Robust Real-World Image Super-Resolution against Adversarial Attacks
N. Babaguchi
John R. Smith
Pengxu Wei
T. Plagemann
Rong Yan
AAML
26
25
0
31 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness?
Do Perceptually Aligned Gradients Imply Adversarial Robustness?
Roy Ganz
Bahjat Kawar
Michael Elad
AAML
22
9
0
22 Jul 2022
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Min Ren
Yuhao Zhu
Yunlong Wang
Zhenan Sun
AAML
16
12
0
13 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
29
155
0
12 Jul 2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing
Certified Adversarial Robustness via Anisotropic Randomized Smoothing
Hanbin Hong
Yuan Hong
AAML
33
5
0
12 Jul 2022
Cross-receptive Focused Inference Network for Lightweight Image
  Super-Resolution
Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution
Wenjie Li
Juncheng Li
Guangwei Gao
Jiantao Zhou
Jian Yang
Guo-Jun Qi
SupR
26
30
0
06 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense
  Mechanisms
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
Ehsan Hallaji
R. Razavi-Far
M. Saif
AAML
FedML
24
13
0
05 Jul 2022
Towards Robust Video Object Segmentation with Adaptive Object
  Calibration
Towards Robust Video Object Segmentation with Adaptive Object Calibration
Xiaohao Xu
Jinglu Wang
Xiang Ming
Yan Lu
VOS
15
25
0
02 Jul 2022
Efficient Adversarial Training With Data Pruning
Efficient Adversarial Training With Data Pruning
Maximilian Kaufmann
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
Nicolas Papernot
AAML
42
7
0
01 Jul 2022
Threat Assessment in Machine Learning based Systems
Threat Assessment in Machine Learning based Systems
L. Tidjon
Foutse Khomh
27
17
0
30 Jun 2022
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary
  Classification
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
Natalie Frank
Jonathan Niles-Weed
AAML
27
14
0
18 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at
  Scale
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Gaoyuan Zhang
Songtao Lu
Yihua Zhang
Xiangyi Chen
Pin-Yu Chen
Quanfu Fan
Lee Martie
L. Horesh
Min-Fong Hong
Sijia Liu
OOD
30
12
0
13 Jun 2022
Guided Diffusion Model for Adversarial Purification
Guided Diffusion Model for Adversarial Purification
Jinyi Wang
Zhaoyang Lyu
Dahua Lin
Bo Dai
Hongfei Fu
DiffM
196
82
0
30 May 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box
  Score-Based Query Attacks
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
Sizhe Chen
Zhehao Huang
Qinghua Tao
Yingwen Wu
Cihang Xie
X. Huang
AAML
110
28
0
24 May 2022
On Trace of PGD-Like Adversarial Attacks
On Trace of PGD-Like Adversarial Attacks
Mo Zhou
Vishal M. Patel
AAML
27
4
0
19 May 2022
Robust Representation via Dynamic Feature Aggregation
Robust Representation via Dynamic Feature Aggregation
Haozhe Liu
Haoqin Ji
Yuexiang Li
Nanjun He
Haoqian Wu
Feng Liu
Linlin Shen
Yefeng Zheng
AAML
OOD
32
3
0
16 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms
  and Research Challenges
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges
Zhenghua Chen
Min-man Wu
Alvin Chan
Xiaoli Li
Yew-Soon Ong
19
6
0
08 May 2022
Visual Attention Methods in Deep Learning: An In-Depth Survey
Visual Attention Methods in Deep Learning: An In-Depth Survey
Mohammed Hassanin
Saeed Anwar
Ibrahim Radwan
Fahad Shahbaz Khan
Ajmal Mian
29
145
0
16 Apr 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds
3DeformRS: Certifying Spatial Deformations on Point Clouds
S. GabrielPérez
Juan C. Pérez
Motasem Alfarra
Silvio Giancola
Guohao Li
3DPC
32
12
0
12 Apr 2022
Generalizing Adversarial Explanations with Grad-CAM
Generalizing Adversarial Explanations with Grad-CAM
Tanmay Chakraborty
Utkarsh Trehan
Khawla Mallat
J. Dugelay
FAtt
GAN
22
10
0
11 Apr 2022
StyleFool: Fooling Video Classification Systems via Style Transfer
StyleFool: Fooling Video Classification Systems via Style Transfer
Yu Cao
Xi Xiao
Ruoxi Sun
Derui Wang
Minhui Xue
Sheng Wen
AAML
8
25
0
30 Mar 2022
Zero-Query Transfer Attacks on Context-Aware Object Detectors
Zero-Query Transfer Attacks on Context-Aware Object Detectors
Zikui Cai
S. Rane
Alejandro E. Brito
Chengyu Song
S. Krishnamurthy
A. Roy-Chowdhury
Ulugbek S. Kamilov
AAML
19
22
0
29 Mar 2022
Input-specific Attention Subnetworks for Adversarial Detection
Input-specific Attention Subnetworks for Adversarial Detection
Emil Biju
Anirudh Sriram
Pratyush Kumar
Mitesh M Khapra
AAML
30
5
0
23 Mar 2022
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble
  Inference Models against Adversarial Volumetric Attacks on IoT Networks
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks
Arman Pashamokhtari
Gustavo E. A. P. A. Batista
Hassan Habibi Gharakheili
AAML
29
9
0
18 Mar 2022
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