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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
ArXiv (abs)PDFHTML

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
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
Yi Wang
Xinhao Li
Ziang Yan
Yinan He
Jiashuo Yu
...
Kai Chen
Wenhai Wang
Yu Qiao
Yali Wang
Limin Wang
432
103
0
21 Jan 2025
Learning to Transform Dynamically for Better Adversarial Transferability
Learning to Transform Dynamically for Better Adversarial TransferabilityComputer Vision and Pattern Recognition (CVPR), 2024
Rongyi Zhu
Zeliang Zhang
Susan Liang
Zhuo Liu
Chenliang Xu
AAML
393
28
0
23 May 2024
VideoMamba: State Space Model for Efficient Video Understanding
VideoMamba: State Space Model for Efficient Video UnderstandingEuropean Conference on Computer Vision (ECCV), 2024
Kunchang Li
Xinhao Li
Yi Wang
Yinan He
Yali Wang
Limin Wang
Yu Qiao
Mamba
205
360
0
11 Mar 2024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu
Tri Dao
Mamba
478
4,843
0
01 Dec 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation
Boosting Adversarial Transferability by Block Shuffle and RotationComputer Vision and Pattern Recognition (CVPR), 2023
Kunyu Wang
Xu He
Wenxuan Wang
Xiaosen Wang
AAML
284
75
0
20 Aug 2023
Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation
Isomer: Isomerous Transformer for Zero-shot Video Object SegmentationIEEE International Conference on Computer Vision (ICCV), 2023
Yichen Yuan
Yifan Wang
Lijun Wang
Xiaoqi Zhao
Huchuan Lu
Yu Wang
Wei Su
Lei Zhang
VOS
192
15
0
13 Aug 2023
Rethinking the Backward Propagation for Adversarial Transferability
Rethinking the Backward Propagation for Adversarial TransferabilityNeural Information Processing Systems (NeurIPS), 2023
Xiaosen Wang
Kangheng Tong
Kun He
AAMLSILM
356
38
0
22 Jun 2023
Improving the Transferability of Adversarial Samples by Path-Augmented
  Method
Improving the Transferability of Adversarial Samples by Path-Augmented MethodComputer 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
Robust Evaluation of Diffusion-Based Adversarial PurificationIEEE 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
Improving Adversarial Transferability via Neuron Attribution-Based AttacksComputer Vision and Pattern Recognition (CVPR), 2022
Jianping Zhang
Weibin Wu
Shu Yang
Yizhan Huang
Wenxuan Wang
Yuxin Su
Michael R. Lyu
AAML
320
165
0
31 Mar 2022
Cross-Modal Transferable Adversarial Attacks from Images to Videos
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
Adaptive Image Transformations for Transfer-based Adversarial AttackEuropean Conference on Computer Vision (ECCV), 2021
Zheng Yuan
Jie Zhang
Shiguang Shan
OOD
193
34
0
27 Nov 2021
Boosting the Transferability of Video Adversarial Examples via Temporal
  Translation
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
Feature Importance-aware Transferable Adversarial AttacksIEEE 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
Video Swin Transformer
Ze Liu
Jia Ning
Yue Cao
Yixuan Wei
Zheng Zhang
Stephen Lin
Han Hu
ViT
341
1,812
0
24 Jun 2021
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Keeping Your Eye on the Ball: Trajectory Attention in Video TransformersNeural 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
Multiscale Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021
Haoqi Fan
Bo Xiong
K. Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
ViT
419
1,470
0
22 Apr 2021
ViViT: A Video Vision Transformer
ViViT: A Video Vision TransformerIEEE International Conference on Computer Vision (ICCV), 2021
Anurag Arnab
Mostafa Dehghani
G. Heigold
Chen Sun
Mario Lucic
Cordelia Schmid
ViT
422
2,621
0
29 Mar 2021
Enhancing the Transferability of Adversarial Attacks through Variance
  Tuning
Enhancing the Transferability of Adversarial Attacks through Variance TuningComputer Vision and Pattern Recognition (CVPR), 2021
Xiaosen Wang
Kun He
AAML
408
495
0
29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsIEEE International Conference on Computer Vision (ICCV), 2021
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
1.2K
27,518
0
25 Mar 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?International Conference on Machine Learning (ICML), 2021
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
874
2,552
0
09 Feb 2021
Video Transformer Network
Video Transformer Network
Daniel Neimark
Omri Bar
Maya Zohar
Dotan Asselmann
ViT
497
471
0
01 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial AttacksIEEE 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
Temporal Pyramid Network for Action RecognitionComputer 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
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacksInternational Conference on Machine Learning (ICML), 2020
Francesco Croce
Matthias Hein
AAML
584
2,136
0
03 Mar 2020
Skip Connections Matter: On the Transferability of Adversarial Examples
  Generated with ResNets
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNetsInternational Conference on Learning Representations (ICLR), 2020
Dongxian Wu
Yisen Wang
Shutao Xia
James Bailey
Jiabo He
AAMLSILM
281
344
0
14 Feb 2020
Nesterov Accelerated Gradient and Scale Invariance for Adversarial
  Attacks
Nesterov Accelerated Gradient and Scale Invariance for Adversarial AttacksInternational Conference on Learning Representations (ICLR), 2019
Jiadong Lin
Chuanbiao Song
Kun He
Liwei Wang
John E. Hopcroft
AAML
553
688
0
17 Aug 2019
Enhancing Adversarial Example Transferability with an Intermediate Level
  Attack
Enhancing Adversarial Example Transferability with an Intermediate Level AttackIEEE International Conference on Computer Vision (ICCV), 2019
Qian Huang
Isay Katsman
Horace He
Zeqi Gu
Serge J. Belongie
Ser-Nam Lim
SILMAAML
270
273
0
23 Jul 2019
Evading Defenses to Transferable Adversarial Examples by
  Translation-Invariant Attacks
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
SILMAAML
189
986
0
05 Apr 2019
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
488
3,775
0
10 Dec 2018
Improving Transferability of Adversarial Examples with Input Diversity
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
AAML
315
1,281
0
19 Mar 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
1.1K
9,699
0
21 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk MinimizationInternational Conference on Learning Representations (ICLR), 2017
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
626
10,965
0
25 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
1.1K
13,551
0
19 Jun 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
712
8,894
0
22 May 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
962
11,181
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2016
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
1.7K
40,656
0
25 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical worldInternational Conference on Learning Representations (ICLR), 2016
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILMAAML
1.3K
6,378
0
08 Jul 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
482
8,076
0
24 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.5K
214,399
0
10 Dec 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2014
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
1.2K
20,799
0
20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014
Karen Simonyan
Andrew Zisserman
FAttMDE
3.3K
107,446
0
04 Sep 2014
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
K. Soomro
Amir Zamir
M. Shah
CLIPVGen
593
6,723
0
03 Dec 2012
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