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2020 – today
- 2024
[j7]Deqiang Li
, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu:
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks. IEEE Trans. Dependable Secur. Comput. 21(2): 920-936 (2024)- 2023
- [j6]Zhikang Ge, Zhihong Man, Zhuo Wang, Xiaoping Bai, Xiaoxiong Wang, Feng Xiong, Deqiang Li:
Robust adaptive sliding mode control for path tracking of unmanned agricultural vehicles. Comput. Electr. Eng. 108: 108693 (2023) - [j5]Deqiang Li, Qianmu Li, Yanfang (Fanny) Ye, Shouhuai Xu:
Arms Race in Adversarial Malware Detection: A Survey. ACM Comput. Surv. 55(2): 15:1-15:35 (2023) - [j4]Pengchuan Wang, Qianmu Li, Deqiang Li, Shunmei Meng, Muhammad Bilal, Amrit Mukherjee:
Security in defect detection: A new one-pixel attack for fooling DNNs. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101689 (2023) - [i7]Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu:
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks. CoRR abs/2302.11328 (2023) - 2021
- [j3]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
A Framework for Enhancing Deep Neural Networks Against Adversarial Malware. IEEE Trans. Netw. Sci. Eng. 8(1): 736-750 (2021) - [c4]Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu:
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? ACSAC 2021: 596-608 - [i6]Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu:
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? CoRR abs/2109.09654 (2021) - 2020
- [j2]Deqiang Li, Qianmu Li:
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection. IEEE Trans. Inf. Forensics Secur. 15: 3886-3900 (2020) - [i5]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
Enhancing Deep Neural Networks Against Adversarial Malware Examples. CoRR abs/2004.07919 (2020) - [i4]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
SoK: Arms Race in Adversarial Malware Detection. CoRR abs/2005.11671 (2020) - [i3]Deqiang Li, Qianmu Li:
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection. CoRR abs/2006.16545 (2020)
2010 – 2019
- 2018
- [j1]Hong Zhu, Qianmu Li, Deqiang Li:
基于单个卷积神经网络的面部多特征点定位 (Facial Multi-landmarks Localization Based on Single Convolution Neural Network). 计算机科学 45(4): 273-277 (2018) - [i2]Deqiang Li, Ramesh Baral, Tao Li, Han Wang, Qianmu Li, Shouhuai Xu:
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples. CoRR abs/1809.06498 (2018) - [i1]Deqiang Li, Qianmu Li, Yanfang Ye, Shouhuai Xu:
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge. CoRR abs/1812.08108 (2018) - 2017
- [c3]Shicheng Cui, Bin Xia, Tao Li, Ming Wu, Deqiang Li, Qianmu Li, Hong Zhang:
SimWalk: Learning network latent representations with social relation similarity. ISKE 2017: 1-6 - [c2]Ming Wu, Qianmu Li, Jing Zhang, Shicheng Cui, Deqiang Li, Yong Qi:
A robust inference algorithm for crowd sourced categorization. ISKE 2017: 1-6
2000 – 2009
Coauthor Index
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