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MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection


Mar 28, 2022
Renrui Zhang, Han Qiu, Tai Wang, Xuanzhuo Xu, Ziyu Guo, Yu Qiao, Peng Gao, Hongsheng Li

* 10 pages, 5 figures 

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Watermarking Pre-trained Encoders in Contrastive Learning


Jan 20, 2022
Yutong Wu, Han Qiu, Tianwei Zhang, Jiwei L, Meikang Qiu


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An Interpretable Federated Learning-based Network Intrusion Detection Framework


Jan 10, 2022
Tian Dong, Song Li, Han Qiu, Jialiang Lu

* 12 pages, draft 

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A General Framework for Defending Against Backdoor Attacks via Influence Graph


Nov 29, 2021
Xiaofei Sun, Jiwei Li, Xiaoya Li, Ziyao Wang, Tianwei Zhang, Han Qiu, Fei Wu, Chun Fan


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Interpreting Deep Learning Models in Natural Language Processing: A Review


Oct 25, 2021
Xiaofei Sun, Diyi Yang, Xiaoya Li, Tianwei Zhang, Yuxian Meng, Han Qiu, Guoyin Wang, Eduard Hovy, Jiwei Li


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Fingerprinting Multi-exit Deep Neural Network Models via Inference Time


Oct 07, 2021
Tian Dong, Han Qiu, Tianwei Zhang, Jiwei Li, Hewu Li, Jialiang Lu


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DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation


Dec 13, 2020
Yi Zeng, Han Qiu, Shangwei Guo, Tianwei Zhang, Meikang Qiu, Bhavani Thuraisingham


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FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques


Dec 03, 2020
Han Qiu, Yi Zeng, Tianwei Zhang, Yong Jiang, Meikang Qiu

* 12 pages, 3 figures 

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Privacy-preserving Collaborative Learning with Automatic Transformation Search


Nov 25, 2020
Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu

* 17 pages, 16 figures 

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The Hidden Vulnerability of Watermarking for Deep Neural Networks


Sep 18, 2020
Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu


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