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2505.17807
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Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition
International Joint Conference on Artificial Intelligence (IJCAI), 2025
23 May 2025
Ping Li
Jianan Ni
Bo Pang
AAML
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Papers citing
"Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition"
43 / 43 papers shown
Title
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
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Learning to Transform Dynamically for Better Adversarial Transferability
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Zeliang Zhang
Susan Liang
Zhuo Liu
Chenliang Xu
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362
28
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23 May 2024
VideoMamba: State Space Model for Efficient Video Understanding
European Conference on Computer Vision (ECCV), 2024
Kunchang Li
Xinhao Li
Yi Wang
Yinan He
Yali Wang
Limin Wang
Yu Qiao
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11 Mar 2024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
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Tri Dao
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Boosting Adversarial Transferability by Block Shuffle and Rotation
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Kunyu Wang
Xu He
Wenxuan Wang
Xiaosen Wang
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280
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0
20 Aug 2023
Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation
IEEE International Conference on Computer Vision (ICCV), 2023
Yichen Yuan
Yifan Wang
Lijun Wang
Xiaoqi Zhao
Huchuan Lu
Yu Wang
Wei Su
Lei Zhang
VOS
180
15
0
13 Aug 2023
Rethinking the Backward Propagation for Adversarial Transferability
Neural Information Processing Systems (NeurIPS), 2023
Xiaosen Wang
Kangheng Tong
Kun He
AAML
SILM
352
38
0
22 Jun 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
Computer Vision and Pattern Recognition (CVPR), 2023
Jianping Zhang
Shu Yang
Wenxuan Wang
Yichen Li
Weibin Wu
Xiaosen Wang
Yuxin Su
Michael R. Lyu
AAML
186
65
0
28 Mar 2023
Robust Evaluation of Diffusion-Based Adversarial Purification
IEEE International Conference on Computer Vision (ICCV), 2023
M. Lee
Dongwoo Kim
303
80
0
16 Mar 2023
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
Computer Vision and Pattern Recognition (CVPR), 2022
Jianping Zhang
Weibin Wu
Shu Yang
Yizhan Huang
Wenxuan Wang
Yuxin Su
Michael R. Lyu
AAML
316
165
0
31 Mar 2022
Cross-Modal Transferable Adversarial Attacks from Images to Videos
Zhipeng Wei
Yue Yu
Zuxuan Wu
Yu-Gang Jiang
AAML
172
50
0
10 Dec 2021
Adaptive Image Transformations for Transfer-based Adversarial Attack
European Conference on Computer Vision (ECCV), 2021
Zheng Yuan
Jie Zhang
Shiguang Shan
OOD
185
34
0
27 Nov 2021
Boosting the Transferability of Video Adversarial Examples via Temporal Translation
Zhipeng Wei
Yue Yu
Zuxuan Wu
Yu-Gang Jiang
AAML
240
42
0
18 Oct 2021
Feature Importance-aware Transferable Adversarial Attacks
IEEE International Conference on Computer Vision (ICCV), 2021
Peng Kuang
Hengchang Guo
Zhifei Zhang
Wenxin Liu
Zhan Qin
K. Ren
AAML
227
277
0
29 Jul 2021
Video Swin Transformer
Ze Liu
Jia Ning
Yue Cao
Yixuan Wei
Zheng Zhang
Stephen Lin
Han Hu
ViT
341
1,810
0
24 Jun 2021
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Neural Information Processing Systems (NeurIPS), 2021
Mandela Patrick
Dylan Campbell
Yuki M. Asano
Ishan Misra
Ishan Misra Florian Metze
Christoph Feichtenhofer
Andrea Vedaldi
João F. Henriques
228
335
0
09 Jun 2021
Multiscale Vision Transformers
IEEE International Conference on Computer Vision (ICCV), 2021
Haoqi Fan
Bo Xiong
K. Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
ViT
419
1,468
0
22 Apr 2021
ViViT: A Video Vision Transformer
IEEE International Conference on Computer Vision (ICCV), 2021
Anurag Arnab
Mostafa Dehghani
G. Heigold
Chen Sun
Mario Lucic
Cordelia Schmid
ViT
406
2,615
0
29 Mar 2021
Enhancing the Transferability of Adversarial Attacks through Variance Tuning
Computer Vision and Pattern Recognition (CVPR), 2021
Xiaosen Wang
Kun He
AAML
388
495
0
29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
IEEE International Conference on Computer Vision (ICCV), 2021
Ze Liu
Yutong Lin
Yue Cao
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Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
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25 Mar 2021
Is Space-Time Attention All You Need for Video Understanding?
International Conference on Machine Learning (ICML), 2021
Gedas Bertasius
Heng Wang
Lorenzo Torresani
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834
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09 Feb 2021
Video Transformer Network
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Omri Bar
Maya Zohar
Dotan Asselmann
ViT
477
470
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01 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks
IEEE International Conference on Computer Vision (ICCV), 2021
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
339
250
0
31 Jan 2021
Temporal Pyramid Network for Action Recognition
Computer Vision and Pattern Recognition (CVPR), 2020
Ceyuan Yang
Yinghao Xu
Jianping Shi
Bo Dai
Bolei Zhou
197
383
0
07 Apr 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
International Conference on Machine Learning (ICML), 2020
Francesco Croce
Matthias Hein
AAML
584
2,134
0
03 Mar 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
International Conference on Learning Representations (ICLR), 2020
Dongxian Wu
Yisen Wang
Shutao Xia
James Bailey
Jiabo He
AAML
SILM
281
344
0
14 Feb 2020
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
International Conference on Learning Representations (ICLR), 2019
Jiadong Lin
Chuanbiao Song
Kun He
Liwei Wang
John E. Hopcroft
AAML
541
688
0
17 Aug 2019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
IEEE International Conference on Computer Vision (ICCV), 2019
Qian Huang
Isay Katsman
Horace He
Zeqi Gu
Serge J. Belongie
Ser-Nam Lim
SILM
AAML
250
273
0
23 Jul 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
SILM
AAML
189
986
0
05 Apr 2019
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
468
3,771
0
10 Dec 2018
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
AAML
315
1,279
0
19 Mar 2018
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
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21 Nov 2017
mixup: Beyond Empirical Risk Minimization
International Conference on Learning Representations (ICLR), 2017
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
570
10,957
0
25 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
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Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
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Andrew Zisserman
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Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
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Densely Connected Convolutional Networks
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