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Defending Against Physically Realizable Attacks on Image Classification

Defending Against Physically Realizable Attacks on Image Classification

20 September 2019
Tong Wu
Liang Tong
Yevgeniy Vorobeychik
    AAML
ArXivPDFHTML

Papers citing "Defending Against Physically Realizable Attacks on Image Classification"

22 / 72 papers shown
Title
Removing Adversarial Noise in Class Activation Feature Space
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
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
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
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
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
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
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
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
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
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
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
MultAV: Multiplicative Adversarial Videos
Shao-Yuan Lo
Vishal M. Patel
AAML
26
8
0
17 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos
Defending Against Multiple and Unforeseen Adversarial Videos
Shao-Yuan Lo
Vishal M. Patel
AAML
31
23
0
11 Sep 2020
Stylized Adversarial Defense
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
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
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
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
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
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
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
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
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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