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Towards Practical Certifiable Patch Defense with Vision Transformer

Towards Practical Certifiable Patch Defense with Vision Transformer

16 March 2022
Zhaoyu Chen
Bo-wen Li
Jianghe Xu
Shuang Wu
Shouhong Ding
Wenqiang Zhang
    AAML
    ViT
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Papers citing "Towards Practical Certifiable Patch Defense with Vision Transformer"

45 / 45 papers shown
Title
MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation
Yuzheng Wang
Zhaoyu Chen
Dingkang Yang
Yuanhang Wang
Lizhe Qi
AAML
69
0
0
09 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
Eric Heim
Oren Wright
David Shriver
OOD
FaML
68
0
0
01 Mar 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment
Zhaoyu Chen
Haijing Guo
Kaixun Jiang
Jiyuan Fu
Xinyu Zhou
Dingkang Yang
H. Tang
Bo-wen Li
Wenqiang Zhang
AAML
40
0
0
03 Jan 2025
ViTGuard: Attention-aware Detection against Adversarial Examples for
  Vision Transformer
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer
Shihua Sun
Kenechukwu Nwodo
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
26
1
0
20 Sep 2024
Self-Cooperation Knowledge Distillation for Novel Class Discovery
Self-Cooperation Knowledge Distillation for Novel Class Discovery
Yuzheng Wang
Zhaoyu Chen
Dingkang Yang
Yunquan Sun
Lizhe Qi
41
2
0
02 Jul 2024
CrossCert: A Cross-Checking Detection Approach to Patch Robustness
  Certification for Deep Learning Models
CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models
Qili Zhou
Zhengyuan Wei
Haipeng Wang
Bo Jiang
William Chan
AAML
37
1
0
13 May 2024
De-confounded Data-free Knowledge Distillation for Handling Distribution
  Shifts
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
Yuzheng Wang
Dingkang Yang
Zhaoyu Chen
Yang Liu
Siao Liu
Wenqiang Zhang
Lihua Zhang
Lizhe Qi
32
6
0
28 Mar 2024
Delving into Decision-based Black-box Attacks on Semantic Segmentation
Delving into Decision-based Black-box Attacks on Semantic Segmentation
Zhaoyu Chen
Zhengyang Shan
Jingwen Chang
Kaixun Jiang
Dingkang Yang
Yiting Cheng
Wenqiang Zhang
AAML
23
0
0
02 Feb 2024
Towards Robust Semantic Segmentation against Patch-based Attack via
  Attention Refinement
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement
Zheng Yuan
Jie Zhang
Yude Wang
Shiguang Shan
Xilin Chen
AAML
35
1
0
03 Jan 2024
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection
  Systems
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems
Bilel Tarchoun
Quazi Mishkatul Alam
Nael B. Abu-Ghazaleh
Ihsen Alouani
AAML
18
0
0
30 Nov 2023
Trainwreck: A damaging adversarial attack on image classifiers
Trainwreck: A damaging adversarial attack on image classifiers
Jan Zahálka
26
1
0
24 Nov 2023
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 Prediction
Abhijith Sharma
Phil Munz
Apurva Narayan
AAML
19
0
0
02 Nov 2023
Adversarial Examples in the Physical World: A Survey
Adversarial Examples in the Physical World: A Survey
Jiakai Wang
Xianglong Liu
Jin Hu
Donghua Wang
Siyang Wu
Tingsong Jiang
Wenbiao Yao
Aishan Liu
Aishan Liu
Jiantao Zhou
AAML
38
4
0
01 Nov 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
49
2
0
19 Oct 2023
Exploring Decision-based Black-box Attacks on Face Forgery Detection
Exploring Decision-based Black-box Attacks on Face Forgery Detection
Zhaoyu Chen
Bo-wen Li
Kaixun Jiang
Shuang Wu
Shouhong Ding
Wenqiang Zhang
AAML
CVBM
26
1
0
18 Oct 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated
  Learning
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
Kangyang Luo
Shuai Wang
Y. Fu
Xiang Li
Yunshi Lan
Minghui Gao
FedML
23
23
0
24 Sep 2023
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Zhimin Sun
Shen Chen
Taiping Yao
Bangjie Yin
Ran Yi
Shouhong Ding
Lizhuang Ma
CVBM
10
21
0
20 Sep 2023
Improving Generalization in Visual Reinforcement Learning via
  Conflict-aware Gradient Agreement Augmentation
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation
Siao Liu
Zhaoyu Chen
Yang Liu
Yuzheng Wang
Dingkang Yang
...
Ziqing Zhou
Xie Yi
Wei Li
Wenqiang Zhang
Zhongxue Gan
38
22
0
02 Aug 2023
A Majority Invariant Approach to Patch Robustness Certification for Deep
  Learning Models
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models
Qili Zhou
Zhengyuan Wei
Haipeng Wang
William Chan
AAML
21
0
0
01 Aug 2023
Sampling to Distill: Knowledge Transfer from Open-World Data
Sampling to Distill: Knowledge Transfer from Open-World Data
Yuzheng Wang
Zhaoyu Chen
Jie M. Zhang
Dingkang Yang
Zuhao Ge
Yang Liu
Siao Liu
Yunquan Sun
Wenqiang Zhang
Lizhe Qi
31
9
0
31 Jul 2023
AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for
  Assistive Driving Perception
AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception
Dingkang Yang
Shuai Huang
Zhi Xu
Zhenpeng Li
Shunli Wang
...
Yan Wang
Jing Liu
Pei Zhang
Peng Zhai
Lihua Zhang
15
34
0
26 Jul 2023
Query-Efficient Decision-based Black-Box Patch Attack
Query-Efficient Decision-based Black-Box Patch Attack
Zhaoyu Chen
Bo-wen Li
Shuang Wu
Shouhong Ding
Wenqiang Zhang
AAML
19
33
0
02 Jul 2023
Architecture-agnostic Iterative Black-box Certified Defense against
  Adversarial Patches
Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches
Dichao Yang
Yihao Huang
Qing-Wu Guo
Felix Juefei Xu
Ming Hu
Yang Liu
G. Pu
AAML
24
0
0
18 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
37
50
0
18 May 2023
Content-based Unrestricted Adversarial Attack
Content-based Unrestricted Adversarial Attack
Zhaoyu Chen
Bo-wen Li
Shuang Wu
Kaixun Jiang
Shouhong Ding
Wenqiang Zhang
DiffM
29
61
0
18 May 2023
Context De-confounded Emotion Recognition
Context De-confounded Emotion Recognition
Dingkang Yang
Zhaoyu Chen
Yuzheng Wang
Shunli Wang
Mingcheng Li
...
Xiao Zhao
Shuai Huang
Zhiyan Dong
Peng Zhai
Lihua Zhang
CML
21
40
0
21 Mar 2023
Efficient Decision-based Black-box Patch Attacks on Video Recognition
Efficient Decision-based Black-box Patch Attacks on Video Recognition
Kaixun Jiang
Zhaoyu Chen
Tony Huang
Jiafeng Wang
Dingkang Yang
Bo-wen Li
Yan Wang
Wenqiang Zhang
AAML
22
21
0
21 Mar 2023
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
Yuzheng Wang
Zhaoyu Chen
Dingkang Yang
Pinxue Guo
Kaixun Jiang
Wenqiang Zhang
Lizhe Qi
AAML
27
6
0
21 Mar 2023
Delving into the Adversarial Robustness of Federated Learning
Delving into the Adversarial Robustness of Federated Learning
Jie M. Zhang
Bo-wen Li
Chen Chen
Lingjuan Lyu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
38
34
0
19 Feb 2023
Explicit and Implicit Knowledge Distillation via Unlabeled Data
Explicit and Implicit Knowledge Distillation via Unlabeled Data
Yuzheng Wang
Zuhao Ge
Zhaoyu Chen
Xiangjian Liu
Chuang Ma
Yunquan Sun
Lizhe Qi
44
10
0
17 Feb 2023
Adversarial Contrastive Distillation with Adaptive Denoising
Adversarial Contrastive Distillation with Adaptive Denoising
Yuzheng Wang
Zhaoyu Chen
Dingkang Yang
Yang Liu
Siao Liu
Wenqiang Zhang
Lizhe Qi
27
22
0
17 Feb 2023
Generalized Video Anomaly Event Detection: Systematic Taxonomy and
  Comparison of Deep Models
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models
Yang Liu
Dingkang Yang
Yan Wang
Jing Liu
Jun Liu
Azzedine Boukerche
Peng Sun
Liang Song
33
80
0
10 Feb 2023
Boosting the Transferability of Adversarial Attacks with Global Momentum
  Initialization
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
26
27
0
21 Nov 2022
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
Hao Huang
Ziyan Chen
Huanran Chen
Yongtao Wang
K. Zhang
AAML
24
54
0
16 Nov 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
24
10
0
03 Nov 2022
Certified Defences Against Adversarial Patch Attacks on Semantic
  Segmentation
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
Maksym Yatsura
K. Sakmann
N. G. Hua
Matthias Hein
J. H. Metzen
AAML
50
17
0
13 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration
Federated Learning with Label Distribution Skew via Logits Calibration
Jie M. Zhang
Zhiqi Li
Bo-wen Li
Jianghe Xu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
21
140
0
01 Sep 2022
Real-Time Robust Video Object Detection System Against Physical-World
  Adversarial Attacks
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks
Husheng Han
Xingui Hu
Kaidi Xu
Pucheng Dang
Ying Wang
Yongwei Zhao
Zidong Du
Qi Guo
Yanzhi Yang
Tianshi Chen
AAML
30
2
0
19 Aug 2022
Generative Domain Adaptation for Face Anti-Spoofing
Generative Domain Adaptation for Face Anti-Spoofing
Qianyu Zhou
Ke-Yue Zhang
Taiping Yao
Ran Yi
Kekai Sheng
Shouhong Ding
Lizhuang Ma
CVBM
32
48
0
20 Jul 2022
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced
  Learning
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning
Jie Zhang
Lei Zhang
Gang Li
Chao Wu
GAN
AAML
36
10
0
28 Jan 2022
DENSE: Data-Free One-Shot Federated Learning
DENSE: Data-Free One-Shot Federated Learning
Jie M. Zhang
Chen Chen
Bo-wen Li
Lingjuan Lyu
Shuang Wu
Shouhong Ding
Chunhua Shen
Chao Wu
FedML
DD
31
104
0
23 Dec 2021
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for
  Combating Deepfakes
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Hao Huang
Yongtao Wang
Zhaoyu Chen
Yuze Zhang
Yuheng Li
Zhi Tang
Wei Chu
Jingdong Chen
Weisi Lin
K. Ma
AAML
72
90
0
23 May 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
140
160
0
10 Sep 2019
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
1