Xiang Ling

Xiang Ling is currently an assistant professor with the Institute of Software, Chinese Academy of Sciences (ISCAS) Beijing. His primary research interests are software security, data-driven security, AI security, and network/web security. He obtained his Ph.D degree in Computer Science from Zhejiang University and his Ph.D advisor is Prof. Shouling Ji and Prof. Chunming Wu. During his Ph.D period, he also worked with Dr. Lingfei Wu and Dr. Tengfei Ma from IBM T. J. Watson Research Center, Prof. Ting Wang from PSU, and Prof. Bo Li from UIUC.

Highlights

🔔🔔🔔 I am looking for self-motivated intern, graduate, under-graduate students and collaborators to work and collaborate with me. If interested, please do not hesitate to drop me a message by email: lingxiang@iscas.ac.cn.

❗❗❗团队长期招聘代码分析、系统安全、深度学习、模糊测试等方向科研实习生，不限本科生、研究生，可以远程实习，详见实习僧招聘网站，感兴趣的联系lingxiang@iscas.ac.cn.

News

Mar 13, 2024	🎉🎉🎉 Our paper “Towards Query-Efficient Decision-Based Adversarial Attacks Through Frequency Domain” was accepted by ICME 2024, congrats to Jianhao Fu!
Mar 8, 2024	🎉🎉🎉 Our paper “VulDL: Tree-based and Graph-based Neural Networks for Vulnerability Detection and Localization” was accepted by EASE 2024, congratulation!
Feb 3, 2024	🎉🎉🎉 Our paper “When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done?” was accepted by ICSE 24 Industry Challenge Track, congrats to Yuxiao Chen!

Selected Publications [Full Publications]

COSE

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

Xiang Ling, Lingfei Wu, Jiangyu Zhang, Zhenqing Qu, Wei Deng, Xiang Chen, Yaguan Qian, Chunming Wu, Shouling Ji, Tianyue Luo, Jingzheng Wu, and Yanjun Wu

Computer & Security May 2023

arXiv Bib HTML Code CCF-B 期刊 (IF=5.105)

@article{ling2023survey,
  title = {Adversarial Attacks against {Windows PE} Malware Detection: A Survey of the State-of-the-Art},
  author = {Ling, Xiang and Wu, Lingfei and Zhang, Jiangyu and Qu, Zhenqing and Deng, Wei and Chen, Xiang and Qian, Yaguan and Wu, Chunming and Ji, Shouling and Luo, Tianyue and Wu, Jingzheng and Wu, Yanjun},
  journal = {Computer \& Security},
  publisher = {Elsevier},
  volumn = {128},
  pages = {103135},
  year = {2023},
  month = may,
  bibtex_show = {true},
  corr = {false},
  abbr = {COSE},
  arxiv = {2112.12310},
  html = {https://www.sciencedirect.com/science/article/pii/S0167404823000445},
  code = {https://github.com/ryderling/adversarial-attacks-and-defenses-for-windows-pe-malware-detection},
  flag = {CCF-B 期刊 (IF=5.105)},
  selected = {true}
}

Black Hat

AutoSpear: Towards Automatically Bypassing and Inspecting Web Application Firewalls

Zhenqing Qu, Xiang Ling, and Chunming Wu

In Black Hat Asia May 2022

Bib HTML Code Slides

@inproceedings{qu2022autospear,
  title = {AutoSpear: Towards Automatically Bypassing and Inspecting Web Application Firewalls},
  author = {Qu, Zhenqing and Ling, Xiang and Wu, Chunming},
  booktitle = {Black Hat Asia},
  year = {2022},
  month = may,
  address = {Virtual Event},
  bibtex_show = {true},
  corr = {false},
  abbr = {Black Hat},
  html = {https://blackhat.com/asia-22/briefings/schedule/#autospear-towards-automatically-bypassing-and-inspecting-web-application-firewalls-25503},
  slides = {https://i.blackhat.com/Asia-22/Thursday-Materials/AS-22-Qu-AutoSpear-Towards-Automatically-Bypassing-and-Inspecting-Web-Application-Firewalls.pdf},
  code = {https://github.com/u21h2/AutoSpear},
  selected = {true}
}

INFOCOM

MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection

Xiang Ling, Lingfei Wu, Wei Deng, Zhenqing Qu, Jiangyu Zhang, Sheng Zhang, Tengfei Ma, Bin Wang, Chunming Wu, and Shouling Ji

In IEEE Conference on Computer Communications (INFOCOM) May 2022

Bib HTML Code CCF-A 会议

@inproceedings{ling2022malgraph,
  title = {{MalGraph}: Hierarchical Graph Neural Networks for Robust Windows Malware Detection},
  author = {Ling, Xiang and Wu, Lingfei and Deng, Wei and Qu, Zhenqing and Zhang, Jiangyu and Zhang, Sheng and Ma, Tengfei and Wang, Bin and Wu, Chunming and Ji, Shouling},
  booktitle = {IEEE Conference on Computer Communications (INFOCOM)},
  pages = {1998--2007},
  year = {2022},
  month = may,
  address = {Virtual Event},
  publisher = {IEEE},
  bibtex_show = {true},
  corr = {false},
  abbr = {INFOCOM},
  flag = {CCF-A 会议},
  html = {https://ieeexplore.ieee.org/document/9796786},
  code = {https://github.com/ryderling/MalGraph},
  selected = {true}
}

TNNLS

Multilevel Graph Matching Networks for Deep Graph Similarity Learning

Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X Liu, Chunming Wu, and Shouling Ji

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) Feb 2023

arXiv Bib HTML Code CCF-B 期刊 (中科院一区, IF=14.255)

@article{ling2023multilevel,
  title = {Multilevel Graph Matching Networks for Deep Graph Similarity Learning},
  author = {Ling, Xiang and Wu, Lingfei and Wang, Saizhuo and Ma, Tengfei and Xu, Fangli and Liu, Alex X and Wu, Chunming and Ji, Shouling},
  journal = {IEEE Transactions on Neural Networks and Learning Systems (TNNLS)},
  volumn = {34},
  number = {2},
  pages = {799--813},
  publisher = {IEEE},
  year = {2023},
  month = feb,
  bibtex_show = {true},
  corr = {true},
  abbr = {TNNLS},
  flag = {CCF-B 期刊 (中科院一区, IF=14.255)},
  arxiv = {2007.04395},
  html = {https://ieeexplore.ieee.org/abstract/document/9516695},
  code = {https://github.com/ryderling/MGMN},
  selected = {true}
}

TKDD

Deep Graph Matching and Searching for Semantic Code Retrieval

Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X Liu, Chunming Wu, and Shouling Ji

ACM Transactions on Knowledge Discovery from Data (TKDD) Feb 2021

arXiv Bib HTML Code CCF-B 期刊

@article{ling2021deep,
  title = {Deep Graph Matching and Searching for Semantic Code Retrieval},
  author = {Ling, Xiang and Wu, Lingfei and Wang, Saizhuo and Pan, Gaoning and Ma, Tengfei and Xu, Fangli and Liu, Alex X and Wu, Chunming and Ji, Shouling},
  journal = {ACM Transactions on Knowledge Discovery from Data (TKDD)},
  year = {2021},
  volume = {15},
  number = {5},
  pages = {88:1--88:21},
  publisher = {ACM},
  bibtex_show = {true},
  corr = {true},
  abbr = {TKDD},
  flag = {CCF-B 期刊},
  arxiv = {2010.12908},
  html = {https://dl.acm.org/doi/abs/10.1145/3447571},
  code = {https://github.com/ryderling/DGMS},
  selected = {true}
}

S&P

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

Xiang Ling, Shouling Ji, Jiaxu Zou, Jiannan Wang, Chunming Wu, Bo Li, and Ting Wang

In IEEE Symposium on Security and Privacy (IEEE S&P, Oakland) May 2019

Bib HTML Code CCF-A 会议

@inproceedings{ling2019deepsec,
  title = {{DEEPSEC}: A Uniform Platform for Security Analysis of Deep Learning Model},
  author = {Ling, Xiang and Ji, Shouling and Zou, Jiaxu and Wang, Jiannan and Wu, Chunming and Li, Bo and Wang, Ting},
  booktitle = {IEEE Symposium on Security and Privacy (IEEE S&P, Oakland)},
  pages = {673--690},
  year = {2019},
  month = may,
  address = {San Francisco, USA},
  publisher = {IEEE},
  bibtex_show = {true},
  corr = {true},
  abbr = {S&P},
  flag = {CCF-A 会议},
  html = {https://ieeexplore.ieee.org/document/8835375},
  code = {https://github.com/ryderling/DEEPSEC},
  selected = {true}
}