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1711.00117
Cited By
Countering Adversarial Images using Input Transformations
31 October 2017
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
AAML
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Papers citing
"Countering Adversarial Images using Input Transformations"
50 / 316 papers shown
Title
Boosting Verified Training for Robust Image Classifications via Abstraction
Zhaodi Zhang
Zhiyi Xue
Yang Chen
Si Liu
Yueling Zhang
Qingbin Liu
Min Zhang
51
4
0
21 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
37
0
0
17 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Huanran Chen
Yichi Zhang
Yinpeng Dong
Xiao Yang
Hang Su
Junyi Zhu
AAML
33
56
0
16 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples
Jinwei Wang
Hao Wu
Haihua Wang
Jiawei Zhang
X. Luo
Bin Ma
AAML
31
0
0
08 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
AAML
40
75
0
28 Feb 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
Vivian Lin
Kuk Jin Jang
Souradeep Dutta
Michele Caprio
O. Sokolsky
Insup Lee
OOD
36
6
0
20 Feb 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition
Luke E. Richards
Edward Raff
Cynthia Matuszek
AAML
16
2
0
17 Feb 2023
Revisiting adversarial training for the worst-performing class
Thomas Pethick
Grigorios G. Chrysos
V. Cevher
29
6
0
17 Feb 2023
Optimal Approximation Complexity of High-Dimensional Functions with Neural Networks
Vincent P. H. Goverse
Jad Hamdan
Jared Tanner
31
0
0
30 Jan 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Zeliang Zhang
Peihan Liu
Xiaosen Wang
Chenliang Xu
AAML
37
3
0
30 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
42
5
0
11 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning
Fei Yin
Yong Zhang
Baoyuan Wu
Yan Feng
Jingyi Zhang
Yanbo Fan
Yujiu Yang
AAML
36
27
0
01 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
Muzammal Naseer
Salman Khan
Fatih Porikli
Fahad Shahbaz Khan
AAML
28
1
0
30 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
Xiaogang Xu
Hengshuang Zhao
Philip Torr
Jiaya Jia
AAML
37
2
0
11 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings
Weiyuan Gong
D. Yuan
Weikang Li
D. Deng
AAML
26
19
0
05 Dec 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaML
AI4TS
38
6
0
27 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Maxwell T. West
S. Erfani
C. Leckie
M. Sevior
Lloyd C. L. Hollenberg
Muhammad Usman
AAML
OOD
35
33
0
23 Nov 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
Jiafeng Wang
Zhaoyu Chen
Kaixun Jiang
Dingkang Yang
Lingyi Hong
Pinxue Guo
Yan Wang
Wenqiang Zhang
AAML
38
27
0
21 Nov 2022
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks
Han-Ching Wu
Sareh Rowlands
Johan Wahlstrom
MLAU
AAML
37
0
0
28 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML
Farhan Ahmed
Pratik Vaishnavi
Kevin Eykholt
Amir Rahmati
AAML
25
7
0
24 Oct 2022
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
Ziquan Liu
Antoni B. Chan
AAML
33
5
0
11 Oct 2022
Repainting and Imitating Learning for Lane Detection
Yue He
Minyue Jiang
Xiaoqing Ye
Liang Du
Zhikang Zou
Wei Zhang
Xiao Tan
Errui Ding
18
1
0
11 Oct 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Shengming Yuan
Qilong Zhang
Lianli Gao
Yaya Cheng
Jingkuan Song
AAML
26
42
0
05 Oct 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense
Bo Peng
Bo Peng
Jie Zhou
Jianyue Xie
Li Liu
AAML
45
43
0
11 Sep 2022
Constraining Representations Yields Models That Know What They Don't Know
João Monteiro
Pau Rodríguez López
Pierre-Andre Noel
I. Laradji
David Vazquez
AAML
44
0
0
30 Aug 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models
Dong Huang
Qi Bu
Yuhao Qing
Haowen Pi
Sen Wang
Heming Cui
OOD
AAML
39
0
0
17 Aug 2022
Robust Real-World Image Super-Resolution against Adversarial Attacks
N. Babaguchi
John R. Smith
Pengxu Wei
T. Plagemann
Rong Yan
AAML
33
25
0
31 Jul 2022
Improving Adversarial Robustness via Mutual Information Estimation
Dawei Zhou
Nannan Wang
Xinbo Gao
Bo Han
Xiaoyu Wang
Yibing Zhan
Tongliang Liu
AAML
19
15
0
25 Jul 2022
Towards Efficient Adversarial Training on Vision Transformers
Boxi Wu
Jindong Gu
Zhifeng Li
Deng Cai
Xiaofei He
Wei Liu
ViT
AAML
48
38
0
21 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
37
155
0
12 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy
R. Olivier
Bhiksha Raj
AAML
34
5
0
08 Jul 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch
Ke Xu
Yao Xiao
Zhao-Heng Zheng
Kaijie Cai
Ramkant Nevatia
AAML
31
28
0
05 Jul 2022
Increasing Confidence in Adversarial Robustness Evaluations
Roland S. Zimmermann
Wieland Brendel
Florian Tramèr
Nicholas Carlini
AAML
41
16
0
28 Jun 2022
On the Limitations of Stochastic Pre-processing Defenses
Yue Gao
Ilia Shumailov
Kassem Fawaz
Nicolas Papernot
AAML
SILM
47
31
0
19 Jun 2022
Analysis and Extensions of Adversarial Training for Video Classification
K. A. Kinfu
René Vidal
AAML
33
13
0
16 Jun 2022
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO
Javier Rando
Nasib Naimi
Thomas Baumann
Max Mathys
AAML
20
5
0
14 Jun 2022
Wavelet Regularization Benefits Adversarial Training
Jun Yan
Huilin Yin
Xiaoyang Deng
Zi-qin Zhao
Wancheng Ge
Hao Zhang
Gerhard Rigoll
AAML
24
2
0
08 Jun 2022
Guided Diffusion Model for Adversarial Purification
Jinyi Wang
Zhaoyang Lyu
Dahua Lin
Bo Dai
Hongfei Fu
DiffM
196
83
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
Xiaolin Huang
AAML
110
28
0
24 May 2022
Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World
Xiaopei Zhu
Zhan Hu
Siyuan Huang
Jianmin Li
Xiaolin Hu
AAML
28
55
0
12 May 2022
DDDM: a Brain-Inspired Framework for Robust Classification
Xiyuan Chen
Xingyu Li
Yi Zhou
Tianming Yang
AAML
DiffM
43
7
0
01 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
3DeformRS: Certifying Spatial Deformations on Point Clouds
S. GabrielPérez
Juan C. Pérez
Motasem Alfarra
Silvio Giancola
Guohao Li
3DPC
40
12
0
12 Apr 2022
Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks
Xuechun Han
Anmin Liu
Yifeng Xiong
Yanbo Fan
Kun He
AAML
45
5
0
06 Apr 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
Yimeng Zhang
Yuguang Yao
Jinghan Jia
Jinfeng Yi
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
28
33
0
27 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
Zhuang Qian
Kaizhu Huang
Qiufeng Wang
Xu-Yao Zhang
OOD
AAML
ObjD
54
72
0
26 Mar 2022
Adversarial Defense via Image Denoising with Chaotic Encryption
Shi Hu
Eric T. Nalisnick
Max Welling
30
2
0
19 Mar 2022
Perception Over Time: Temporal Dynamics for Robust Image Understanding
Maryam Daniali
Edward J. Kim
AI4TS
25
5
0
11 Mar 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Cheng Luo
Qinliang Lin
Weicheng Xie
Bizhu Wu
Jinheng Xie
Linlin Shen
AAML
39
101
0
10 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce
Sven Gowal
T. Brunner
Evan Shelhamer
Matthias Hein
A. Cemgil
TTA
AAML
181
68
0
28 Feb 2022
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