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AdvM @ ACM Multimedia 2021: Virtual Event, China

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Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu:
ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8672-2
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Xiangxian Li, Haokai Ma, Lei Meng, Xiangxu Meng:
Comparative Study of Adversarial Training Methods for Long-tailed Classification. 1-7
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  - conf/mm/AydinSKHT21
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Ayberk Aydin, Deniz Sen, Berat Tuna Karli, Oguz Hanoglu, Alptekin Temizel:
Imperceptible Adversarial Examples by Spatial Chroma-Shift. 8-14
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Maoxun Yuan, Xingxing Wei:
Generating Adversarial Remote Sensing Images via Pan-Sharpening Technique. 15-20
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Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin:
Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. 21-27
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Haokai Ma, Xiangxian Li, Lei Meng, Xiangxu Meng:
Comparative Study of Adversarial Training Methods for Cold-Start Recommendation. 28-34
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Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Jilin Li, Feiyue Huang:
Detecting Adversarial Patch Attacks through Global-local Consistency. 35-41
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Yan Wang, Yuhang Li, Ruihao Gong, Tianzi Xiao, Fengwei Yu:
Real World Robustness from Systematic Noise. 42-48
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Dongdong Yang, Wenjie Li, Rongrong Ni, Yao Zhao:
Enhancing Adversarial Examples Transferability via Ensemble Feature Manifolds. 49-54
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Lei Zhao, Lei Huang:
An Investigation on Sparsity of CapsNets for Adversarial Robustness. 55-61
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Sanket B. Shah, Param Raval, Harin Khakhi, Mehul S. Raval:
Frequency Centric Defense Mechanisms against Adversarial Examples. 62-67

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