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1801.08926
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Deflecting Adversarial Attacks with Pixel Deflection
26 January 2018
Aaditya (Adi) Prakash
N. Moran
Solomon Garber
Antonella DiLillo
J. Storer
AAML
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Papers citing
"Deflecting Adversarial Attacks with Pixel Deflection"
50 / 64 papers shown
Title
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Yi Yu
Song Xia
Xun Lin
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
AAML
SILM
243
0
0
20 Apr 2025
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
Yuchen Yang
Shubham Ugare
Yifan Zhao
Gagandeep Singh
Sasa Misailovic
MQ
38
0
0
31 Oct 2024
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding
Hangcheng Liu
Tao Xiang
Shangwei Guo
Han Li
Tianwei Zhang
Xiaofeng Liao
24
5
0
03 Aug 2023
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation
Asif Hanif
Muzammal Naseer
Salman Khan
M. Shah
Fahad Shahbaz Khan
AAML
OOD
38
4
0
14 Jul 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts
Pratinav Seth
Mihir Agarwal
AI4MH
23
1
0
10 Apr 2023
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
Xiaogang Xu
Hengshuang Zhao
Philip Torr
Jiaya Jia
AAML
42
2
0
11 Dec 2022
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness
Huy Phan
Miao Yin
Yang Sui
Bo Yuan
S. Zonouz
AAML
GNN
38
8
0
04 Dec 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Zhengyu Zhao
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
32
20
0
17 Nov 2022
Data-free Defense of Black Box Models Against Adversarial Attacks
Gaurav Kumar Nayak
Inder Khatri
Ruchit Rawal
Anirban Chakraborty
AAML
33
1
0
03 Nov 2022
Robust Real-World Image Super-Resolution against Adversarial Attacks
N. Babaguchi
John R. Smith
Pengxu Wei
T. Plagemann
Rong Yan
AAML
36
25
0
31 Jul 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
Lei Cheng
Feng Yin
Sergios Theodoridis
S. Chatzis
Tsung-Hui Chang
73
75
0
28 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
Xiaolin Huang
AAML
110
28
0
24 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation
Yujin Kim
Jaehoon Oh
Sungnyun Kim
Se-Young Yun
31
6
0
13 May 2022
Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks
Jiawei Zhang
Jinwei Wang
Hao Wang
X. Luo
AAML
25
28
0
26 Apr 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems
Wei Jia
Zhaojun Lu
Haichun Zhang
Zhenglin Liu
Jie Wang
Gang Qu
AAML
18
51
0
17 Jan 2022
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Yuxuan Zhang
B. Dong
Felix Heide
AAML
26
8
0
16 Dec 2021
Kryptonite: An Adversarial Attack Using Regional Focus
Yogesh Kulkarni
Krisha Bhambani
AAML
19
3
0
23 Aug 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information
Ranjie Duan
YueFeng Chen
Dantong Niu
Yun Yang
•. A. K. Qin
Yuan He
AAML
24
89
0
20 Aug 2021
Attack to Fool and Explain Deep Networks
Naveed Akhtar
M. Jalwana
Bennamoun
Ajmal Mian
AAML
32
33
0
20 Jun 2021
Sparta: Spatially Attentive and Adversarially Robust Activation
Qing Guo
Felix Juefei Xu
Changqing Zhou
Wei Feng
Yang Liu
Song Wang
AAML
43
4
0
18 May 2021
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
Jinyin Chen
Ruoxi Chen
Haibin Zheng
Zhaoyan Ming
Wenrong Jiang
Chen Cui
AAML
25
10
0
14 May 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification
S. Silva
Arun Das
I. Scarff
Peyman Najafirad
AAML
20
1
0
05 Apr 2021
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes
Zhikai Chen
Lingxi Xie
Shanmin Pang
Yong He
Bo Zhang
AAML
36
32
0
26 Mar 2021
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting
F. Nesti
Alessandro Biondi
Giorgio Buttazzo
AAML
15
39
0
27 Jan 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos P. Panousis
S. Chatzis
Antonios Alexos
Sergios Theodoridis
BDL
AAML
OOD
61
19
0
04 Jan 2021
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks
Jayendra Kantipudi
S. Dubey
Soumendu Chakraborty
AAML
47
19
0
20 Dec 2020
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
Han Qiu
Yi Zeng
Shangwei Guo
Tianwei Zhang
Meikang Qiu
B. Thuraisingham
AAML
24
191
0
13 Dec 2020
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics
Zhiwei Jia
Bodi Yuan
Kangkang Wang
Hong Wu
David Clifford
Zhiqiang Yuan
Hao Su
VLM
46
21
0
09 Dec 2020
Transferable Universal Adversarial Perturbations Using Generative Models
Atiyeh Hashemi
Andreas Bär
S. Mozaffari
Tim Fingscheidt
AAML
30
17
0
28 Oct 2020
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
Shangwei Guo
Tianwei Zhang
Han Qiu
Yi Zeng
Tao Xiang
Yang Liu
AAML
14
33
0
18 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
33
157
0
08 Sep 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
Yuzhen Ding
Nupur Thakur
Baoxin Li
AAML
24
3
0
20 Jul 2020
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security
Ankita Shukla
Pavan Turaga
Saket Anand
AAML
16
1
0
06 May 2020
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty
Xiyue Zhang
Xiaofei Xie
Lei Ma
Xiaoning Du
Q. Hu
Yang Liu
Jianjun Zhao
Meng Sun
AAML
16
76
0
24 Apr 2020
Topological Effects on Attacks Against Vertex Classification
B. A. Miller
Mustafa Çamurcu
Alexander J. Gomez
Kevin S. Chan
Tina Eliassi-Rad
AAML
19
2
0
12 Mar 2020
Adversarial Ranking Attack and Defense
Mo Zhou
Zhenxing Niu
Le Wang
Qilin Zhang
G. Hua
36
38
0
26 Feb 2020
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space
Camilo Pestana
Naveed Akhtar
Wei Liu
D. Glance
Ajmal Mian
AAML
29
10
0
25 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses
Florian Tramèr
Nicholas Carlini
Wieland Brendel
Aleksander Madry
AAML
109
823
0
19 Feb 2020
Analysis of Random Perturbations for Robust Convolutional Neural Networks
Adam Dziedzic
S. Krishnan
OOD
AAML
24
1
0
08 Feb 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Sizhe Chen
Zhengbao He
Chengjin Sun
Jie Yang
Xiaolin Huang
AAML
31
104
0
16 Jan 2020
Sparse Black-box Video Attack with Reinforcement Learning
Xingxing Wei
Huanqian Yan
Yue Liu
AAML
31
49
0
11 Jan 2020
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator
Huy Phan
Yi Xie
Siyu Liao
Jie Chen
Bo Yuan
AAML
24
20
0
16 Dec 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples
Omid Poursaeed
Tianxing Jiang
Yordanos Goshu
Harry Yang
Serge J. Belongie
Ser-Nam Lim
AAML
37
13
0
20 Nov 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Tao Yu
Shengyuan Hu
Chuan Guo
Wei-Lun Chao
Kilian Q. Weinberger
AAML
58
101
0
16 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Ali Dabouei
Sobhan Soleymani
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
AAML
104
19
0
08 Oct 2019
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
143
162
0
10 Sep 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Haichao Zhang
Jianyu Wang
AAML
25
230
0
24 Jul 2019
Towards Adversarially Robust Object Detection
Haichao Zhang
Jianyu Wang
AAML
ObjD
25
130
0
24 Jul 2019
Defending Adversarial Attacks by Correcting logits
Yifeng Li
Lingxi Xie
Ya Zhang
Rui Zhang
Yanfeng Wang
Qi Tian
AAML
29
5
0
26 Jun 2019
Enhancing Transformation-based Defenses using a Distribution Classifier
C. Kou
H. Lee
E. Chang
Teck Khim Ng
37
3
0
01 Jun 2019
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