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1812.03411
Cited By
Feature Denoising for Improving Adversarial Robustness
9 December 2018
Cihang Xie
Yuxin Wu
L. V. D. van der Maaten
Alan Yuille
Kaiming He
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Papers citing
"Feature Denoising for Improving Adversarial Robustness"
50 / 478 papers shown
Title
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
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
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
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
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
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
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
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
Pratik Vaishnavi
Kevin Eykholt
Amir Rahmati
24
7
0
25 Oct 2022
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
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
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
Chaofan Tao
Ngai Wong
MQ
39
1
0
17 Oct 2022
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
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
Sylvestre-Alvise Rebuffi
Francesco Croce
Sven Gowal
AAML
36
16
0
10 Oct 2022
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
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
P. Bashivan
Adam Ibrahim
Amirozhan Dehghani
Yifei Ren
OOD
24
5
0
30 Sep 2022
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
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
Jiayin Li
Wenzhong Guo
Xingshuo Han
Jianping Cai
Ximeng Liu
AAML
83
1
0
14 Sep 2022
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
Prashant Pandey
Mustafa Chasmai
Tanuj Sur
Brejesh Lall
22
11
0
26 Aug 2022
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
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
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?
Roy Ganz
Bahjat Kawar
Michael Elad
AAML
22
9
0
22 Jul 2022
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
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
Hanbin Hong
Yuan Hong
AAML
33
5
0
12 Jul 2022
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
Ehsan Hallaji
R. Razavi-Far
M. Saif
AAML
FedML
24
13
0
05 Jul 2022
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
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
L. Tidjon
Foutse Khomh
27
17
0
30 Jun 2022
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
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
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
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
Mo Zhou
Vishal M. Patel
AAML
27
4
0
19 May 2022
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
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
Mohammed Hassanin
Saeed Anwar
Ibrahim Radwan
Fahad Shahbaz Khan
Ajmal Mian
29
145
0
16 Apr 2022
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
Tanmay Chakraborty
Utkarsh Trehan
Khawla Mallat
J. Dugelay
FAtt
GAN
22
10
0
11 Apr 2022
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
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
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
Arman Pashamokhtari
Gustavo E. A. P. A. Batista
Hassan Habibi Gharakheili
AAML
29
9
0
18 Mar 2022
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