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Real-centric Consistency Learning for Deepfake Detection


May 15, 2022
Ruiqi Zha, Zhichao Lian, Qianmu Li, Siqi Gu


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Understanding CNNs from excitations


May 04, 2022
Zijian Ying, Qianmu Li, Zhichao Lian


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Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection?


Sep 20, 2021
Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu

* 13 pages (included references), 9 figures 

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Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection


Jun 30, 2020
Deqiang Li, Qianmu Li

* D. Li and Q. Li, "Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection," in IEEE Transactions on Information Forensics and Security (early access) 

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SoK: Arms Race in Adversarial Malware Detection


Jun 15, 2020
Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu

* 19 pages, 6 figures 

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Enhancing Deep Neural Networks Against Adversarial Malware Examples


Apr 15, 2020
Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu

* 16 pages, 5 figures. arXiv admin note: substantial text overlap with arXiv:1812.08108 

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An Overview of Two Age Synthesis and Estimation Techniques


Jan 26, 2020
Milad Taleby Ahvanooey, Qianmu Li

* 16 pages, 5 figures. International Congress on Engineering Science and Sustainable Urban Development Denmark, Copenhagen, September 2018 

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Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data


Nov 01, 2019
Ziyuan Pu, Zhiyong Cui, Shuo Wang, Qianmu Li, Yinhai Wang


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HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples


Sep 18, 2018
Deqiang Li, Ramesh Baral, Tao Li, Han Wang, Qianmu Li, Shouhuai Xu

* 13 pages (included references), 5 figures 

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