Yinpeng Dong
Yinpeng Dong
Verified email at mails.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Boosting adversarial attacks with momentum
Y Dong, F Liao, T Pang, H Su, J Zhu, X Hu, J Li
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
5722018
Defense against adversarial attacks using high-level representation guided denoiser
F Liao, M Liang, Y Dong, T Pang, X Hu, J Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2792018
Technical report on the cleverhans v2. 1.0 adversarial examples library
N Papernot, F Faghri, N Carlini, I Goodfellow, R Feinman, A Kurakin, ...
arXiv preprint arXiv:1610.00768, 2016
1222016
Adversarial attacks and defences competition
A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ...
The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018
1132018
Evading defenses to transferable adversarial examples by translation-invariant attacks
Y Dong, T Pang, H Su, J Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
732019
Towards robust detection of adversarial examples
T Pang, C Du, Y Dong, J Zhu
Advances in Neural Information Processing Systems, 4579-4589, 2018
69*2018
Efficient decision-based black-box adversarial attacks on face recognition
Y Dong, H Su, B Wu, Z Li, W Liu, T Zhang, J Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
602019
Improving interpretability of deep neural networks with semantic information
Y Dong, H Su, J Zhu, B Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
602017
Towards interpretable deep neural networks by leveraging adversarial examples
Y Dong, H Su, J Zhu, F Bao
arXiv preprint arXiv:1708.05493, 2017
592017
Improving black-box adversarial attacks with a transfer-based prior
S Cheng, Y Dong, T Pang, H Su, J Zhu
Advances in Neural Information Processing Systems, 10934-10944, 2019
432019
Forecast the Plausible Paths in Crowd Scenes.
H Su, J Zhu, Y Dong, B Zhang
IJCAI 1, 2, 2017
342017
Learning visual knowledge memory networks for visual question answering
Z Su, C Zhu, Y Dong, D Cai, Y Chen, J Li
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
332018
Crowd Scene Understanding with Coherent Recurrent Neural Networks.
H Su, Y Dong, J Zhu, H Ling, B Zhang
IJCAI 1, 2, 2016
322016
Learning accurate low-bit deep neural networks with stochastic quantization
Y Dong, R Ni, J Li, Y Chen, J Zhu, H Su
British Machine Vision Conference, 2017
312017
Rethinking softmax cross-entropy loss for adversarial robustness
T Pang, K Xu, Y Dong, C Du, N Chen, J Zhu
arXiv preprint arXiv:1905.10626, 2019
182019
Batch virtual adversarial training for graph convolutional networks
Z Deng, Y Dong, J Zhu
arXiv preprint arXiv:1902.09192, 2019
182019
Benchmarking Adversarial Robustness on Image Classification
Y Dong, QA Fu, X Yang, T Pang, H Su, Z Xiao, J Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
10*2020
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition, 129-153, 2020
92020
Stochastic quantization for learning accurate low-bit deep neural networks
Y Dong, R Ni, J Li, Y Chen, H Su, J Zhu
International Journal of Computer Vision 127 (11-12), 1629-1642, 2019
62019
Boosting adversarial training with hypersphere embedding
T Pang, X Yang, Y Dong, K Xu, H Su, J Zhu
arXiv preprint arXiv:2002.08619, 2020
52020
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