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Ping Chen 0003
Person information
- affiliation: Fudan University, Institute for Big Data, Shanghai, China
- affiliation (former): Pennsylvania State University, College of Information Sciences and Technology, State College, PA, USA
- affiliation (former): Purdue University, Department of Computer Science, West Lafayette, USA
- affiliation (PhD 2012): Nanjing University Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Ping Chen — disambiguation page
- Ping Chen 0001
— University of Massachusetts Boston, Department of Computer Science, MA, USA (and 2 more)
- Ping Chen 0002 — Peking University, Beijing, China
- Ping Chen 0004
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2020 – today
- 2023
- [j6]Lan Zhang
Semantics-Preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection. IEEE Trans. Dependable Secur. Comput. 20(2): 1390-1402 (2023) - 2022
- [c21]Jiameng Shi, Le Guan, Wenqiang Li, Dayou Zhang, Ping Chen, Ning Zhang:
HARM: Hardware-Assisted Continuous Re-randomization for Microcontrollers. EuroS&P 2022: 520-536 - 2021
- [j5]Zhisheng Hu
A Co-Design Adaptive Defense Scheme With Bounded Security Damages Against Heartbleed-Like Attacks. IEEE Trans. Inf. Forensics Secur. 16: 4691-4704 (2021) - 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)
2010 – 2019
- 2019
- [j3]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
- [j2]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) - [i2]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
- [c20]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 - [c19]Jun Xu, Dongliang Mu, Xinyu Xing, Peng Liu, Ping Chen, Bing Mao:
Postmortem Program Analysis with Hardware-Enhanced Post-Crash Artifacts. USENIX Security Symposium 2017: 17-32 - [c18]Liang Deng, Peng Liu, Jun Xu, Ping Chen, Qingkai Zeng:
Dancing with Wolves: Towards Practical Event-driven VMM Monitoring. VEE 2017: 83-96 - 2016
- [c17]Jun Xu, Pinyao Guo, Bo Chen, Robert F. Erbacher, Ping Chen, Peng Liu:
Demo: A Symbolic N-Variant System. MTD@CCS 2016: 65-68 - [c16]Jun Xu, Dongliang Mu, Ping Chen, Xinyu Xing, Pei Wang, Peng Liu:
CREDAL: Towards Locating a Memory Corruption Vulnerability with Your Core Dump. CCS 2016: 529-540 - [c15]Zhisheng Hu, Ping Chen, Yang Lu, Minghui Zhu, Peng Liu:
Towards a Science for Adaptive Defense: Revisit Server Protection. CIC 2016: 112-121 - 2015
- [c14]Ping Chen, Jun Xu, Zhiqiang Lin, Dongyan Xu, Bing Mao, Peng Liu:
A Practical Approach for Adaptive Data Structure Layout Randomization. ESORICS (1) 2015: 69-89 - [i1]Ping Chen, Jun Xu, Jun Wang, Peng Liu:
Instantly Obsoleting the Address-code Associations: A New Principle for Defending Advanced Code Reuse Attack. CoRR abs/1507.02786 (2015) - 2014
- [c13]Rui Wu, Ping Chen, Peng Liu, Bing Mao:
System Call Redirection: A Practical Approach to Meeting Real-World Virtual Machine Introspection Needs. DSN 2014: 574-585 - [c12]Wenbiao Ding, Xiao Xing, Ping Chen, Zhi Xin, Bing Mao:
Automatic construction of printable return-oriented programming payload. MALWARE 2014: 18-25 - 2013
- [j1]Ping Chen, Rui Wu, Bing Mao:
JITSafe: a framework against Just-in-time spraying attacks. IET Inf. Secur. 7(4): 283-292 (2013) - 2012
- [c11]Rui Wu, Ping Chen, Bing Mao, Li Xie:
RIM: A Method to Defend from JIT Spraying Attack. ARES 2012: 143-148 - [c10]Ping Chen, Dongyan Xu, Bing Mao:
CloudER: a framework for automatic software vulnerability location and patching in the cloud. AsiaCCS 2012: 50 - [c9]Feifei Wang, Ping Chen, Bing Mao, Li Xie:
RandHyp: Preventing Attacks via Xen Hypercall Interface. SEC 2012: 138-149 - 2011
- [c8]Ping Chen, Xiao Xing, Bing Mao, Li Xie, Xiaobin Shen
Automatic construction of jump-oriented programming shellcode (on the x86). AsiaCCS 2011: 20-29 - [c7]Ping Chen, Yi Fang, Bing Mao, Li Xie:
JITDefender: A Defense against JIT Spraying Attacks. SEC 2011: 142-153 - 2010
- [c6]Ping Chen, Xiao Xing, Bing Mao, Li Xie:
Return-Oriented Rootkit without Returns (on the x86). ICICS 2010: 340-354 - [c5]Ping Chen, Xiao Xing, Hao Han, Bing Mao, Li Xie:
Efficient Detection of the Return-Oriented Programming Malicious Code. ICISS 2010: 140-155
2000 – 2009
- 2009
- [c4]Ping Chen, Yi Wang, Zhi Xin, Bing Mao, Li Xie:
BRICK: A Binary Tool for Run-Time Detecting and Locating Integer-Based Vulnerability. ARES 2009: 208-215 - [c3]Yi Wang, Ping Chen, Yi Ge, Bing Mao, Li Xie:
Traffic Controller: A Practical Approach to Block Network Covert Timing Channel. ARES 2009: 349-354 - [c2]Ping Chen, Hao Han, Yi Wang, Xiaobin Shen, Xinchun Yin, Bing Mao, Li Xie:
IntFinder: Automatically Detecting Integer Bugs in x86 Binary Program. ICICS 2009: 336-345 - [c1]Ping Chen, Hai Xiao, Xiaobin Shen
DROP: Detecting Return-Oriented Programming Malicious Code. ICISS 2009: 163-177
Coauthor Index
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