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1909.09552
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Defending Against Physically Realizable Attacks on Image Classification
20 September 2019
Tong Wu
Liang Tong
Yevgeniy Vorobeychik
AAML
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Papers citing
"Defending Against Physically Realizable Attacks on Image Classification"
22 / 72 papers shown
Title
Removing Adversarial Noise in Class Activation Feature Space
Dawei Zhou
N. Wang
Chunlei Peng
Xinbo Gao
Xiaoyu Wang
Jun Yu
Tongliang Liu
AAML
30
28
0
19 Apr 2021
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
Liang Tong
Zhengzhang Chen
Jingchao Ni
Wei Cheng
Dongjin Song
Haifeng Chen
Yevgeniy Vorobeychik
CVBM
AAML
32
19
0
08 Apr 2021
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches
Nan Ji
YanFei Feng
Haidong Xie
Xueshuang Xiang
Naijin Liu
AAML
58
33
0
16 Mar 2021
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis
Fengting Li
Xuankai Liu
Xiaoli Zhang
Qi Li
Kun Sun
Kang Li
AAML
13
13
0
10 Feb 2021
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
J. H. Metzen
Maksym Yatsura
AAML
23
40
0
08 Feb 2021
Meta Adversarial Training against Universal Patches
J. H. Metzen
Nicole Finnie
Robin Hutmacher
OOD
AAML
19
21
0
27 Jan 2021
Error Diffusion Halftoning Against Adversarial Examples
Shao-Yuan Lo
Vishal M. Patel
DiffM
15
4
0
23 Jan 2021
Incentivizing Truthfulness Through Audits in Strategic Classification
Andrew Estornell
Sanmay Das
Yevgeniy Vorobeychik
MLAU
17
8
0
16 Dec 2020
Overcomplete Representations Against Adversarial Videos
Shao-Yuan Lo
Jeya Maria Jose Valanarasu
Vishal M. Patel
AAML
33
8
0
08 Dec 2020
Adversarial Image Color Transformations in Explicit Color Filter Space
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
32
12
0
12 Nov 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
29
48
0
19 Oct 2020
MultAV: Multiplicative Adversarial Videos
Shao-Yuan Lo
Vishal M. Patel
AAML
26
8
0
17 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos
Shao-Yuan Lo
Vishal M. Patel
AAML
31
23
0
11 Sep 2020
Stylized Adversarial Defense
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
GAN
AAML
28
16
0
29 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
S. Silva
Peyman Najafirad
AAML
OOD
28
131
0
01 Jul 2020
Adversarial Robustness of Deep Sensor Fusion Models
Shaojie Wang
Tong Wu
Ayan Chakrabarti
Yevgeniy Vorobeychik
AAML
23
10
0
23 Jun 2020
Robust Face Verification via Disentangled Representations
Marius Arvinte
Ahmed H. Tewfik
S. Vishwanath
CVBM
22
1
0
05 Jun 2020
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking
Chong Xiang
A. Bhagoji
Vikash Sehwag
Prateek Mittal
AAML
30
29
0
17 May 2020
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack
Ao Liu
Beibei Li
Tao Li
Pan Zhou
Rui Wang
AAML
27
0
0
06 May 2020
Adversarial Training against Location-Optimized Adversarial Patches
Sukrut Rao
David Stutz
Bernt Schiele
AAML
19
91
0
05 May 2020
Minority Reports Defense: Defending Against Adversarial Patches
Michael McCoyd
Won Park
Steven Chen
Neil Shah
Ryan Roggenkemper
Minjune Hwang
J. Liu
David Wagner
AAML
11
54
0
28 Apr 2020
Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang
Xiao Yang
Yinpeng Dong
Kun Xu
Jun Zhu
Hang Su
AAML
33
154
0
20 Feb 2020
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