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ORCIDZhisheng Hu
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2020 – today
- 2022
[c9]Xinyang Zhang, Zhisheng Hu, Shengjian Guo, Zhenyu Zhong, Kang Li:
SimLane: A Risk-Orientated Benchmark for Lane Detection. DSN (Supplements) 2022: 9-12- [c8]Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray:
Detecting multi-sensor fusion errors in advanced driver-assistance systems. ISSTA 2022: 493-505 - [c7]Yanqi Pan, Zhisheng Hu, Nan Zhang, Hao Hu, Wen Xia, Zhongming Jiang, Liang Shi, Shiyi Li:
HNFFS: Revisiting the NOR Flash File System. NVMSA 2022: 14-19 - [i4]Junjie Shen, Ningfei Wang, Ziwen Wan, Yunpeng Luo, Takami Sato, Zhisheng Hu, Xinyang Zhang, Shengjian Guo, Zhenyu Zhong, Kang Li, Ziming Zhao, Chunming Qiao, Qi Alfred Chen:
SoK: On the Semantic AI Security in Autonomous Driving. CoRR abs/2203.05314 (2022) - 2021
- [j6]Zhisheng Hu
, Ping Chen, Minghui Zhu, Peng Liu:
A Co-Design Adaptive Defense Scheme With Bounded Security Damages Against Heartbleed-Like Attacks. IEEE Trans. Inf. Forensics Secur. 16: 4691-4704 (2021) - [c6]Zhisheng Hu, Shengjian Guo, Zhenyu Zhong, Kang Li:
Disclosing the Fragility Problem of Virtual Safety Testing for Autonomous Driving Systems. ISSRE Workshops 2021: 387-392 - [i3]Zhisheng Hu, Shengjian Guo, Zhenyu Zhong, Kang Li:
Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing. CoRR abs/2106.00873 (2021) - [i2]Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray:
Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving. CoRR abs/2109.06404 (2021) - 2020
- [j5]Qiang Mei, Qinyou Hu, Chun Yang, Hailin Zheng, Zhisheng Hu:
Port Recommendation System for Alternative Container Port Destinations Using a Novel Neural Language-Based Algorithm. IEEE Access 8: 199970-199979 (2020) - [j4]Xusheng Li, Zhisheng Hu, Haizhou Wang, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu:
DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics. J. Comput. Secur. 28(5): 499-523 (2020) - [j3]Zhisheng Hu, Minghui Zhu, Peng Liu:
Adaptive Cyber Defense Against Multi-Stage Attacks Using Learning-Based POMDP. ACM Trans. Priv. Secur. 24(1): 6:1-6:25 (2020) - [c5]Zhenyu Zhong, Zhisheng Hu, Xiaowei Chen:
Quantifying DNN Model Robustness to the Real-World Threats. DSN 2020: 150-157
2010 – 2019
- 2019
- [j2]Zhisheng Hu, Minghui Zhu, Ping Chen, Peng Liu:
On convergence rates of game theoretic reinforcement learning algorithms. Autom. 104: 90-101 (2019) - [p2]Zhisheng Hu, Ping Chen, Minghui Zhu, Peng Liu:
Reinforcement Learning for Adaptive Cyber Defense Against Zero-Day Attacks. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense 2019: 54-93 - [p1]Ping Chen, Zhisheng Hu, Jun Xu, Minghui Zhu, Rob Erbacher, Sushil Jajodia, Peng Liu:
MTD Techniques for Memory Protection Against Zero-Day Attacks. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense 2019: 129-155 - 2018
- [j1]Ping Chen, Zhisheng Hu, Jun Xu, Minghui Zhu, Peng Liu:
Feedback control can make data structure layout randomization more cost-effective under zero-day attacks. Cybersecur. 1(1): 3 (2018) - [i1]Xusheng Li, Zhisheng Hu, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu:
ROPNN: Detection of ROP Payloads Using Deep Neural Networks. CoRR abs/1807.11110 (2018) - 2017
- [c4]Zhisheng Hu, Minghui Zhu, Peng Liu:
Online Algorithms for Adaptive Cyber Defense on Bayesian Attack Graphs. MTD@CCS 2017: 99-109 - [c3]Ping Chen, Jun Xu, Zhisheng Hu, Xinyu Xing, Minghui Zhu, Bing Mao, Peng Liu:
What You See is Not What You Get! Thwarting Just-in-Time ROP with Chameleon. DSN 2017: 451-462 - 2016
- [c2]Zhisheng Hu, Ping Chen, Yang Lu, Minghui Zhu, Peng Liu:
Towards a Science for Adaptive Defense: Revisit Server Protection. CIC 2016: 112-121 - 2014
- [c1]Minghui Zhu, Zhisheng Hu, Peng Liu:
Reinforcement Learning Algorithms for Adaptive Cyber Defense against Heartbleed. MTD@CCS 2014: 51-58
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