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Chao Feng 0002
Person information
- affiliation (PhD 2011): National University of Defense Technology (NUDT), College of Electronic Science, Changsha, China
Other persons with the same name
- Chao Feng — disambiguation page
- Chao Feng 0001
— University of Zurich UZH, Communication Systems Group CSG, Department of Informatics IfI, Switzerland - Chao Feng 0003
— Qilu University of Technology, Shandong Academy of Sciences, International School for Optoelectronic Engineering, Jinan, China - Chao Feng 0004
— Northwest University, Shaanxi International Joint Research Centre for the Battery-Free Internet of Things, China - Chao Feng 0005 — Pennsylvania State University, Electrical Engineering Department, PA, USA
- Chao Feng 0006 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China (and 1 more)
- Chao Feng 0007
— Southeast University, National Mobile Communications Research Laboratory, Nanjing, China - Chao Feng 0008
— University of Science and Technology of China, School of Computer Science and Technology, Hefei, Anhui, China - Chao Feng 0009 — Land Mobile Product Sector, Motorola, Inc., IL, USA (and 1 more)
- Chao Feng 0010
— Zhejiang University, College of Computer Science and Technology, Hangzhou, China
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2020 – today
- 2025
[c14]Xiaolei Wang, Ruilin Li, Bin Zhang, Chao Feng, Chaojing Tang:
Practical Object-Level Sanitizer with Aggregated Memory Access and Custom Allocator. ICSE 2025: 2854-2866- 2024
[c13]Kelin Wang
, Mengda Chen
, Liang He
, Purui Su
, Yan Cai
, Jiongyi Chen
, Bin Zhang
, Chao Feng
, Chaojing Tang
:
OSmart: Whitebox Program Option Fuzzing. CCS 2024: 705-719- 2023
[c12]Runhao Li, Bin Zhang, Jiongyi Chen, Wenfeng Lin, Chao Feng, Chaojing Tang:
Towards Automatic and Precise Heap Layout Manipulation for General-Purpose Programs. NDSS 2023
[c11]Bin Zhang, Jiongyi Chen, Runhao Li, Chao Feng, Ruilin Li, Chaojing Tang:
Automated Exploitable Heap Layout Generation for Heap Overflows Through Manipulation Distance-Guided Fuzzing. USENIX Security Symposium 2023: 4499-4515- 2022
[j11]Hongyu Kuang
, Jian Wang, Ruilin Li, Chao Feng, Yunfei Su, Xing Zhang:
Automated detection on the security of the linked-list operations. Frontiers Comput. Sci. 16(2): 162201 (2022)
[j10]Bin Zhang, Jiaxi Ye, Ruilin Li, Chao Feng, Yunfei Su, Chaojing Tang:
Pusher: an augmented fuzzer based on the connection between input and comparison operand. Frontiers Comput. Sci. 16(4): 164206 (2022)
[c10]Xing Zhang, Jiongyi Chen, Chao Feng, Ruilin Li, Wenrui Diao
, Kehuan Zhang, Jing Lei, Chaojing Tang:
Default: Mutual Information-based Crash Triage for Massive Crashes. ICSE 2022: 635-646- 2021
[c9]Xing Zhang, Jiongyi Chen, Chao Feng, Ruilin Li, Yunfei Su, Bin Zhang, Jing Lei, Chaojing Tang:
Reducing Test Cases with Attention Mechanism of Neural Networks. USENIX Security Symposium 2021: 2075-2092- 2020
[j9]Hongyu Kuang
, Jian Wang, Ruilin Li
, Chao Feng
, Xing Zhang
:
Automated Data-Processing Function Identification Using Deep Neural Network. IEEE Access 8: 55411-55423 (2020)
[j8]Fenglei Deng, Jian Wang
, Bin Zhang, Chao Feng, Zhiyuan Jiang, Yunfei Su
:
A Pattern-Based Software Testing Framework for Exploitability Evaluation of Metadata Corruption Vulnerabilities. Sci. Program. 2020: 8883746:1-8883746:21 (2020)
2010 – 2019
- 2019
[j7]Jiaxi Ye
, Bin Zhang, Ruilin Li, Chao Feng, Chaojing Tang:
Program State Sensitive Parallel Fuzzing for Real World Software. IEEE Access 7: 42557-42564 (2019)
[j6]Xing Zhang
, Chao Feng, Runhao Li
, Jing Lei
, Chaojing Tang:
NeuralTaint: A Key Segment Marking Tool Based on Neural Network. IEEE Access 7: 68786-68798 (2019)
[j5]Runhao Li
, Chao Feng, Xing Zhang
, Chaojing Tang:
A Lightweight Assisted Vulnerability Discovery Method Using Deep Neural Networks. IEEE Access 7: 80079-80092 (2019)
[j4]Runhao Li
, Chen Zhang, Chao Feng, Xing Zhang
, Chaojing Tang:
Locating Vulnerability in Binaries Using Deep Neural Networks. IEEE Access 7: 134660-134676 (2019)
[j3]Xing Zhang
, Chao Feng
, Runhao Li
, Jing Lei
, Chaojing Tang
:
Marking Key Segment of Program Input via Attention Mechanism. IEEE Access 7: 183877-183891 (2019)- 2018
[j2]Bin Zhang, Chao Feng, Adrian Herrera, Vitaly Chipounov, George Candea, Chaojing Tang:
Discover deeper bugs with dynamic symbolic execution and coverage-based fuzz testing. IET Softw. 12(6): 507-519 (2018)
[j1]Zhiyuan Jiang, Chao Feng
, Chaojing Tang:
An Exploitability Analysis Technique for Binary Vulnerability Based on Automatic Exception Suppression. Secur. Commun. Networks 2018: 4610320:1-4610320:21 (2018)
[c8]Yuan Xia, Chao Feng, Xing Zhang, Runhao Li, Chaojing Tang:
Parallelization of Extracting Binary Program Execution Trace Offline. ICAIP 2018: 184-188
[c7]Yang Li, Chao Feng, Chaojing Tang:
A Large-scale Parallel Fuzzing System. ICAIP 2018: 194-197- 2017
[c6]Jiaxi Ye, Bin Zhang, Ziqing Ye, Chao Feng, Chaojing Tang:
Improving the Cooperation of Fuzzing and Symbolic Execution by Test-cases Prioritizing. CIS 2017: 543-547
[c5]Bin Zhang, Jiaxi Ye, Chao Feng, Chaojing Tang:
S2F: Discover Hard-to-Reach Vulnerabilities by Semi-Symbolic Fuzz Testing. CIS 2017: 548-552- 2016
[c4]Qingkun Meng, Shameng Wen, Chao Feng, Chaojing Tang:
Predicting buffer overflow using semi-supervised learning. CISP-BMEI 2016: 1959-1963
[c3]Shameng Wen, Chao Feng, Qingkun Meng, Bin Zhang, Ligeng Wu, Chaojing Tang:
Testing Network Protocol Binary Software with Selective Symbolic Execution. CIS 2016: 318-322
[c2]Shameng Wen, Chao Feng, Qingkun Meng, Bin Zhang, Ligeng Wu, Chaojing Tang:
Analyzing network protocol binary software with joint symbolic execution. ICSAI 2016: 738-742
[c1]Bin Zhang, Chao Feng, Bo Wu, Chaojing Tang:
Detecting integer overflow in Windows binary executables based on symbolic execution. SNPD 2016: 385-390
Coauthor Index

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last updated on 2026-01-28 03:50 CET by the dblp team
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