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Towards Practical Certifiable Patch Defense with Vision Transformer

Towards Practical Certifiable Patch Defense with Vision Transformer

Computer Vision and Pattern Recognition (CVPR), 2022
16 March 2022
Zhaoyu Chen
Yue Liu
Jianghe Xu
Shuang Wu
Shouhong Ding
Wenqiang Zhang
    AAMLViT
ArXiv (abs)PDFHTML

Papers citing "Towards Practical Certifiable Patch Defense with Vision Transformer"

42 / 42 papers shown
Scalable and Precise Patch Robustness Certification for Deep Learning Models with Top-k Predictions
Scalable and Precise Patch Robustness Certification for Deep Learning Models with Top-k PredictionsInternational Conference on Software Quality, Reliability and Security (QRS), 2025
Qilin Zhou
Haipeng Wang
Zhengyuan Wei
W.K. Chan
AAML
109
0
0
31 Jul 2025
MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation
Yuzheng Wang
Zhaoyu Chen
Jinjie Wei
Yuanhang Wang
Lizhe Qi
AAML
357
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
OODFaML
340
0
0
01 Mar 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment
Boosting Adversarial Transferability with Spatial Adversarial Alignment
Zhaoyu Chen
Haijing Guo
Kaixun Jiang
Jiyuan Fu
Xinyu Zhou
Jinjie Wei
Hao Tang
Yue Liu
Wenqiang Zhang
AAML
353
1
0
02 Jan 2025
ViTGuard: Attention-aware Detection against Adversarial Examples for
  Vision Transformer
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision TransformerAsia-Pacific Computer Systems Architecture Conference (ACSA), 2024
Shihua Sun
Kenechukwu Nwodo
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
297
3
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
315
5
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
299
2
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
202
17
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
180
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 RefinementInternational Journal of Computer Vision (IJCV), 2024
Zheng Yuan
Jie Zhang
Yude Wang
Shiguang Shan
Xilin Chen
AAML
495
2
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
197
0
0
30 Nov 2023
Trainwreck: A damaging adversarial attack on image classifiers
Trainwreck: A damaging adversarial attack on image classifiers
Jan Zahálka
326
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 PredictionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Abhijith Sharma
Phil Munz
Apurva Narayan
AAML
282
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
329
9
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
394
10
0
19 Oct 2023
Exploring the Adversarial Robustness of Face Forgery Detection with Decision-based Black-box Attacks
Exploring the Adversarial Robustness of Face Forgery Detection with Decision-based Black-box AttacksKnowledge-Based Systems (KBS), 2023
Zhaoyu Chen
Yue Liu
Kaixun Jiang
Shuang Wu
Shouhong Ding
Wenqiang Zhang
CVBMAAML
420
2
0
18 Oct 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated
  Learning
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated LearningNeural Information Processing Systems (NeurIPS), 2023
Kangyang Luo
Shuai Wang
Y. Fu
Xiang Li
Yunshi Lan
Minghui Gao
FedML
233
47
0
24 Sep 2023
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Contrastive Pseudo Learning for Open-World DeepFake AttributionIEEE International Conference on Computer Vision (ICCV), 2023
Zhimin Sun
Shen Chen
Taiping Yao
Bangjie Yin
Ran Yi
Shouhong Ding
Lizhuang Ma
CVBM
225
36
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 AugmentationIEEE International Conference on Computer Vision (ICCV), 2023
Siao Liu
Zhaoyu Chen
Yang Liu
Yuzheng Wang
Dingkang Yang
...
Ziqing Zhou
Xie Yi
Wei Li
Wenqiang Zhang
Zhongxue Gan
251
30
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 ModelsInternational Conference on Automated Software Engineering (ASE), 2023
Qili Zhou
Zhengyuan Wei
Haipeng Wang
William Chan
AAML
206
1
0
01 Aug 2023
Sampling to Distill: Knowledge Transfer from Open-World Data
Sampling to Distill: Knowledge Transfer from Open-World DataACM Multimedia (ACM MM), 2023
Yuzheng Wang
Zhaoyu Chen
Jie M. Zhang
Dingkang Yang
Zuhao Ge
Yang Liu
Siao Liu
Yunquan Sun
Wenqiang Zhang
Lizhe Qi
206
14
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 PerceptionIEEE International Conference on Computer Vision (ICCV), 2023
Dingkang Yang
Shuai Huang
Zhi Xu
Zhenpeng Li
Shunli Wang
...
Yan Wang
Jing Liu
Pei Zhang
Peng Zhai
Lihua Zhang
234
57
0
26 Jul 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
277
42
0
02 Jul 2023
Architecture-agnostic Iterative Black-box Certified Defense against
  Adversarial Patches
Architecture-agnostic Iterative Black-box Certified Defense against Adversarial PatchesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Dichao Yang
Yihao Huang
Qing Guo
Felix Juefei Xu
Ming Hu
Yang Liu
G. Pu
AAML
236
2
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 & DefensesIEEE Access (IEEE Access), 2023
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
370
105
0
18 May 2023
Content-based Unrestricted Adversarial Attack
Content-based Unrestricted Adversarial AttackNeural Information Processing Systems (NeurIPS), 2023
Zhaoyu Chen
Yue Liu
Shuang Wu
Kaixun Jiang
Shouhong Ding
Wenqiang Zhang
DiffM
341
103
0
18 May 2023
Context De-confounded Emotion Recognition
Context De-confounded Emotion RecognitionComputer Vision and Pattern Recognition (CVPR), 2023
Dingkang Yang
Zhaoyu Chen
Yuzheng Wang
Shunli Wang
Mingcheng Li
...
Xiao Zhao
Shuai Huang
Zhiyan Dong
Peng Zhai
Lihua Zhang
CML
224
59
0
21 Mar 2023
Efficient Decision-based Black-box Patch Attacks on Video Recognition
Efficient Decision-based Black-box Patch Attacks on Video RecognitionIEEE International Conference on Computer Vision (ICCV), 2023
Kaixun Jiang
Zhaoyu Chen
Tony Huang
Jiafeng Wang
Dingkang Yang
Yue Liu
Yan Wang
Wenqiang Zhang
AAML
274
28
0
21 Mar 2023
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
Out of Thin Air: Exploring Data-Free Adversarial Robustness DistillationAAAI Conference on Artificial Intelligence (AAAI), 2023
Yuzheng Wang
Zhaoyu Chen
Dingkang Yang
Pinxue Guo
Kaixun Jiang
Wenqiang Zhang
Lizhe Qi
AAML
192
12
0
21 Mar 2023
Delving into the Adversarial Robustness of Federated Learning
Delving into the Adversarial Robustness of Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Jie M. Zhang
Yue Liu
Chen Chen
Lingjuan Lyu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
206
54
0
19 Feb 2023
Explicit and Implicit Knowledge Distillation via Unlabeled Data
Explicit and Implicit Knowledge Distillation via Unlabeled DataIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yuzheng Wang
Zuhao Ge
Zhaoyu Chen
Xiangjian Liu
Chuang Ma
Yunquan Sun
Lizhe Qi
267
11
0
17 Feb 2023
Adversarial Contrastive Distillation with Adaptive Denoising
Adversarial Contrastive Distillation with Adaptive DenoisingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yuzheng Wang
Zhaoyu Chen
Dingkang Yang
Yang Liu
Siao Liu
Wenqiang Zhang
Lizhe Qi
176
23
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 ModelsACM Computing Surveys (ACM Comput. Surv.), 2023
Zehua Wang
Dingkang Yang
Yan Wang
Jing Liu
Jun Liu
Peng Sun
Yang Liu
Liang Song
444
134
0
10 Feb 2023
Boosting the Transferability of Adversarial Attacks with Global Momentum
  Initialization
Boosting the Transferability of Adversarial Attacks with Global Momentum InitializationExpert systems with applications (ESWA), 2022
Jiafeng Wang
Zhaoyu Chen
Kaixun Jiang
Dingkang Yang
Lingyi Hong
Pinxue Guo
Yan Wang
Wenqiang Zhang
AAML
250
47
0
21 Nov 2022
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
T-SEA: Transfer-based Self-Ensemble Attack on Object DetectionComputer Vision and Pattern Recognition (CVPR), 2022
Hao Huang
Ziyan Chen
Huanran Chen
Yongtao Wang
Ke-Yue Zhang
AAML
325
94
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
496
14
0
03 Nov 2022
Certified Defences Against Adversarial Patch Attacks on Semantic
  Segmentation
Certified Defences Against Adversarial Patch Attacks on Semantic SegmentationInternational Conference on Learning Representations (ICLR), 2022
Maksym Yatsura
K. Sakmann
N. G. Hua
Matthias Hein
J. H. Metzen
AAML
239
23
0
13 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration
Federated Learning with Label Distribution Skew via Logits CalibrationInternational Conference on Machine Learning (ICML), 2022
Jie M. Zhang
Zhiqi Li
Yue Liu
Jianghe Xu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
280
196
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 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
298
4
0
19 Aug 2022
Generative Domain Adaptation for Face Anti-Spoofing
Generative Domain Adaptation for Face Anti-SpoofingEuropean Conference on Computer Vision (ECCV), 2022
Qianyu Zhou
Ke-Yue Zhang
Taiping Yao
Ran Yi
Kekai Sheng
Shouhong Ding
Lizhuang Ma
CVBM
270
65
0
20 Jul 2022
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced
  Learning
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced LearningInternational Conference on Information Photonics (ICIP), 2022
Jie Zhang
Lei Zhang
Gang Li
Chao Wu
GANAAML
195
10
0
28 Jan 2022
DENSE: Data-Free One-Shot Federated Learning
DENSE: Data-Free One-Shot Federated LearningNeural Information Processing Systems (NeurIPS), 2021
Jie M. Zhang
Chen Chen
Yue Liu
Lingjuan Lyu
Shuang Wu
Shouhong Ding
Chunhua Shen
Chao Wu
FedMLDD
353
161
0
23 Dec 2021
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