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Adversarial Training against Location-Optimized Adversarial Patches
v1v2 (latest)

Adversarial Training against Location-Optimized Adversarial Patches

5 May 2020
Sukrut Rao
David Stutz
Bernt Schiele
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Training against Location-Optimized Adversarial Patches"

50 / 50 papers shown
Title
CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage
CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage
Xuntao Lyu
Ching-Chi Lin
Abdullah Al Arafat
G. V. D. Brüggen
Jian-Jia Chen
Zhishan Guo
AAML
92
0
0
13 Nov 2025
A Single Set of Adversarial Clothes Breaks Multiple Defense Methods in the Physical World
A Single Set of Adversarial Clothes Breaks Multiple Defense Methods in the Physical World
Wei Emma Zhang
Zhanhao Hu
Xiao-Li Li
Xiaopei Zhu
Xiaolin Hu
AAML
77
0
0
20 Oct 2025
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations
Junjie Nan
Jianing Li
Wei Chen
Mingkun Zhang
Xueqi Cheng
PICV
208
0
0
15 Oct 2025
TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
Amira Guesmi
B. Ouni
Muhammad Shafique
AAMLMQ
76
0
0
16 Aug 2025
IPG: Incremental Patch Generation for Generalized Adversarial Patch Training
IPG: Incremental Patch Generation for Generalized Adversarial Patch Training
Wonho Lee
Hyunsik Na
Jisu Lee
Daeseon Choi
AAMLVLM
130
0
0
13 Aug 2025
Benchmarking Adversarial Patch Selection and Location
Benchmarking Adversarial Patch Selection and Location
Shai Kimhi
Avi Mendlson
Moshe Kimhi
AAML
88
0
0
03 Aug 2025
Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments
Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D EnvironmentsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Xiao Yang
Lingxuan Wu
L. Wang
Chengyang Ying
Hang Su
Jun Zhu
AAML
180
2
0
24 Jul 2025
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
Hossein Khalili
Seongbin Park
Venkat Bollapragada
Nader Sehatbakhsh
AAML
412
0
0
22 May 2025
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
Hyunsik Na
Wonho Lee
Seungdeok Roh
Sohee Park
Daeseon Choi
AAML
159
1
0
13 May 2025
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
Amira Guesmi
B. Ouni
Muhammad Shafique
MQAAML
262
0
0
10 Mar 2025
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination
DiffPAD: Denoising Diffusion-based Adversarial Patch DecontaminationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Jia Fu
Xiao Zhang
Sepideh Pashami
Fatemeh Rahimian
Anders Holst
DiffMAAML
269
1
0
31 Oct 2024
Real-world Adversarial Defense against Patch Attacks based on Diffusion
  Model
Real-world Adversarial Defense against Patch Attacks based on Diffusion ModelIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Xingxing Wei
Caixin Kang
Yinpeng Dong
Liang Luo
Shouwei Ruan
Yubo Chen
Hang Su
AAMLDiffM
202
5
0
14 Sep 2024
Model Agnostic Defense against Adversarial Patch Attacks on Object Detection in Unmanned Aerial Vehicles
Model Agnostic Defense against Adversarial Patch Attacks on Object Detection in Unmanned Aerial Vehicles
Saurabh Pathak
Samridha Shrestha
Abdelrahman AlMahmoud
AAML
184
3
0
29 May 2024
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
Lihua Jing
Rui Wang
Wenqi Ren
Xinjie Dong
Cong Zou
AAML
209
37
0
25 Apr 2024
Embodied Active Defense: Leveraging Recurrent Feedback to Counter
  Adversarial Patches
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
Lingxuan Wu
Xiao Yang
Yinpeng Dong
Liuwei Xie
Hang Su
Jun Zhu
AAML
200
6
0
31 Mar 2024
Assist Is Just as Important as the Goal: Image Resurfacing to Aid
  Model's Robust Prediction
Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust PredictionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Abhijith Sharma
Phil Munz
Apurva Narayan
AAML
262
1
0
02 Nov 2023
Adversarial Examples in the Physical World: A Survey
Adversarial Examples in the Physical World: A Survey
Jinyang Guo
Xianglong Liu
Jin Hu
Donghua Wang
Siyang Wu
Tingsong Jiang
Wenbiao Yao
Aishan Liu
Aishan Liu
Jiantao Zhou
AAML
325
8
0
01 Nov 2023
Detection Defenses: An Empty Promise against Adversarial Patch Attacks
  on Optical Flow
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical FlowIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Erik Scheurer
Jenny Schmalfuss
Alexander Lis
Andrés Bruhn
AAML
153
6
0
26 Oct 2023
PatchCURE: Improving Certifiable Robustness, Model Utility, and
  Computation Efficiency of Adversarial Patch Defenses
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses
Chong Xiang
Tong Wu
Sihui Dai
Jonathan Petit
Suman Jana
Prateek Mittal
369
10
0
19 Oct 2023
PatchBackdoor: Backdoor Attack against Deep Neural Networks without
  Model Modification
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model ModificationACM Multimedia (ACM MM), 2023
Yizhen Yuan
Rui Kong
Shenghao Xie
Yan Liang
Yunxin Liu
86
11
0
22 Aug 2023
Query-Efficient Decision-based Black-Box Patch Attack
Query-Efficient Decision-based Black-Box Patch AttackIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Zhaoyu Chen
Yue Liu
Shuang Wu
Shouhong Ding
Wenqiang Zhang
AAML
265
42
0
02 Jul 2023
Distributional Modeling for Location-Aware Adversarial Patches
Distributional Modeling for Location-Aware Adversarial Patches
Xingxing Wei
Shouwei Ruan
Yinpeng Dong
Hang Su
DiffM
173
6
0
28 Jun 2023
Revisiting Image Classifier Training for Improved Certified Robust
  Defense against Adversarial Patches
Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches
Aniruddha Saha
Shuhua Yu
Arash Norouzzadeh
Wan-Yi Lin
Chaithanya Kumar Mummadi
AAML
129
5
0
22 Jun 2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksEuropean Conference on Computer Vision (ECCV), 2023
Cai Kang
Yinpeng Dong
Zhengyi Wang
Shouwei Ruan
Yubo Chen
Hang Su
Xingxing Wei
AAMLDiffM
236
20
0
15 Jun 2023
Simultaneously Optimizing Perturbations and Positions for Black-box
  Adversarial Patch Attacks
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch AttacksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xingxing Wei
Yingjie Guo
Jie Yu
Bo Zhang
AAML
194
66
0
26 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark
REAP: A Large-Scale Realistic Adversarial Patch BenchmarkIEEE International Conference on Computer Vision (ICCV), 2022
Nabeel Hingun
Chawin Sitawarin
Jerry Li
David Wagner
AAML
300
23
0
12 Dec 2022
Visually Adversarial Attacks and Defenses in the Physical World: A
  Survey
Visually Adversarial Attacks and Defenses in the Physical World: A Survey
Xingxing Wei
Bangzheng Pu
Jiefan Lu
Baoyuan Wu
AAML
448
13
0
03 Nov 2022
Real-Time Robust Video Object Detection System Against Physical-World
  Adversarial Attacks
Real-Time Robust Video Object Detection System Against Physical-World Adversarial AttacksIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Husheng Han
Xingui Hu
Kaidi Xu
Pucheng Dang
Ying Wang
Yongwei Zhao
Zidong Du
Qi Guo
Yanzhi Yang
Tianshi Chen
AAML
265
4
0
19 Aug 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial
  Patches
Physical Attack on Monocular Depth Estimation with Optimal Adversarial PatchesEuropean Conference on Computer Vision (ECCV), 2022
Zhiyuan Cheng
James Liang
Hongjun Choi
Guanhong Tao
Zhiwen Cao
Dongfang Liu
Xiangyu Zhang
AAMLMDE
157
121
0
11 Jul 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and
  Zeroing the Patch
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the PatchIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ke Xu
Yao Xiao
Zhao-Heng Zheng
Kaijie Cai
Ramkant Nevatia
AAML
250
49
0
05 Jul 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey
Abhijith Sharma
Yijun Bian
Phil Munz
Apurva Narayan
VLMAAML
258
28
0
16 Jun 2022
Defending Person Detection Against Adversarial Patch Attack by using
  Universal Defensive Frame
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive FrameIEEE Transactions on Image Processing (IEEE TIP), 2022
Youngjoon Yu
Hong Joo Lee
Hakmin Lee
Yong Man Ro
AAML
114
18
0
27 Apr 2022
Adversarial Scratches: Deployable Attacks to CNN Classifiers
Adversarial Scratches: Deployable Attacks to CNN ClassifiersPattern Recognition (Pattern Recogn.), 2022
Loris Giulivi
Malhar Jere
Loris Rossi
F. Koushanfar
Gabriela F. Cretu-Ciocarlie
Briland Hitaj
Giacomo Boracchi
AAML
198
23
0
20 Apr 2022
Defending From Physically-Realizable Adversarial Attacks Through
  Internal Over-Activation Analysis
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation AnalysisAAAI Conference on Artificial Intelligence (AAAI), 2022
Giulio Rossolini
F. Nesti
Fabio Brau
Alessandro Biondi
Giorgio Buttazzo
AAML
209
11
0
14 Mar 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding
  Attacks via Patch-agnostic Masking
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic MaskingIEEE Symposium on Security and Privacy (IEEE S&P), 2022
Chong Xiang
Alexander Valtchanov
Saeed Mahloujifar
Prateek Mittal
AAML
303
36
0
03 Feb 2022
On the Real-World Adversarial Robustness of Real-Time Semantic
  Segmentation Models for Autonomous Driving
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous DrivingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Giulio Rossolini
F. Nesti
G. D’Amico
Saasha Nair
Alessandro Biondi
Giorgio Buttazzo
AAML
212
57
0
05 Jan 2022
Segment and Complete: Defending Object Detectors against Adversarial
  Patch Attacks with Robust Patch Detection
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Jiangjiang Liu
Alexander Levine
Chun Pong Lau
Ramalingam Chellappa
Soheil Feizi
AAML
239
115
0
08 Dec 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep
  Neural Network Systems
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
Bao Gia Doan
Minhui Xue
Shiqing Ma
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
326
66
0
19 Nov 2021
Certified Patch Robustness via Smoothed Vision Transformers
Certified Patch Robustness via Smoothed Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2021
Hadi Salman
Saachi Jain
Eric Wong
Aleksander Mkadry
AAML
176
66
0
11 Oct 2021
Reversible Attack based on Local Visual Adversarial Perturbation
Reversible Attack based on Local Visual Adversarial Perturbation
Li Chen
Shaowei Zhu
Z. Yin
AAML
186
9
0
06 Oct 2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches
  for Any Image Classifier
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier
Chong Xiang
Saeed Mahloujifar
Prateek Mittal
VLMAAML
225
95
0
20 Aug 2021
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep
  Neural Networks
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural NetworksACM Asia Conference on Computer and Communications Security (AsiaCCS), 2021
Zitao Chen
Pritam Dash
Karthik Pattabiraman
AAML
296
26
0
11 Aug 2021
Adversarial Robustness against Multiple and Single $l_p$-Threat Models
  via Quick Fine-Tuning of Robust Classifiers
Adversarial Robustness against Multiple and Single lpl_plp​-Threat Models via Quick Fine-Tuning of Robust ClassifiersInternational Conference on Machine Learning (ICML), 2021
Francesco Croce
Matthias Hein
OODAAML
178
26
0
26 May 2021
What Doesn't Kill You Makes You Robust(er): How to Adversarially Train
  against Data Poisoning
What Doesn't Kill You Makes You Robust(er): How to Adversarially Train against Data Poisoning
Jonas Geiping
Liam H. Fowl
Gowthami Somepalli
Micah Goldblum
Michael Moeller
Tom Goldstein
TDIAAMLSILM
166
46
0
26 Feb 2021
A Real-time Defense against Website Fingerprinting Attacks
A Real-time Defense against Website Fingerprinting Attacks
Shawn Shan
A. Bhagoji
Haitao Zheng
Ben Y. Zhao
AAML
137
22
0
08 Feb 2021
Robustness Out of the Box: Compositional Representations Naturally
  Defend Against Black-Box Patch Attacks
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks
Christian Cosgrove
Adam Kortylewski
Chenglin Yang
Alan Yuille
AAML
122
4
0
01 Dec 2020
Point Adversarial Self Mining: A Simple Method for Facial Expression
  Recognition
Point Adversarial Self Mining: A Simple Method for Facial Expression RecognitionIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2020
Ping Liu
Yuewei Lin
Zibo Meng
Lu Lu
Weihong Deng
Qiufeng Wang
Yi Yang
187
35
0
26 Aug 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box
  adversarial attacks
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacksAAAI Conference on Artificial Intelligence (AAAI), 2020
Francesco Croce
Maksym Andriushchenko
Naman D. Singh
Nicolas Flammarion
Matthias Hein
306
123
0
23 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
247
29
0
17 May 2020
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
527
638
0
31 Oct 2017
1