Mu Zhang
        
    Postdoctoral Associate, CS, Cornell

    mz496 [at] cornell [dot] edu

    440 Gates Hall, Cornell,
    Ithaca, NY 14853



Portrait of Mu Zhang, 
oil painting by Qing Song


About Me

I am a Postdoctoral Associate in the Department of Computer Science at Cornell University, working with Prof. Elaine Shi on Cyber-Physical Systems Security. I received my Ph.D. in Computer & Information Science & Engineering from Syracuse University, advised by Prof. Heng Yin, in 2015. I was a Research Staff Member in the Computer Security Department at NEC Labs America, from 2015 to 2017.

My research interests lie in several aspects of Computer Security. Particularly, I am interested in developing systems using all types of techniques (e.g., program analysis, machine learning, data mining, etc.) to address security problems in different domains, including but not limited to mobile systems, enterprise IT systems and cyber-physical systems.

News
  • 7/2018: Our paper "NodeMerge: Template Based Efficient Data Reduction For Big-Data Causality Analysis" is accepted in CCS 2018. 
  • 10/2017: Our paper "Towards a Timely Causality Analysis for Enterprise Security" is accepted in NDSS 2018. 
  • 10/2017: Our paper "Things You May Not Know About Android (Un)Packers: A Systematic Study based on Whole-System Emulation" is accepted in NDSS 2018.
Awards
  • All University Doctoral Prize, Syracuse University, 2016
Software
  • DroidSIFT: Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs [link]
Selected Publications (FullGoogle Scholar)
  1. [CCS'18] Yutao Tang, Ding Li, Zhichun Li, Mu Zhang, Kangkook Jee, Xusheng Xiao, Zhenyu Wu, Junghwan Rhee, Fengyuan Xu, Qun Li. "NodeMerge: Template Based Efficient Data Reduction For Big-Data Causality Analysis", to appear in The 25th ACM Conference on Computer and Communications Security, Toronto, Canada, October 2018. (Acceptance Ratio: 16.6%) [PDF]
  2. [NDSS'18] Yushan Liu*, Mu Zhang*, Ding Li, Kangkook Jee, Zhichun Li, Zhenyu Wu, Junghwan Rhee, Prateek Mittal. "Towards a Timely Causality Analysis for Enterprise Security", appeared in Proceedings of Network and Distributed System Security SymposiumSan Diego, CA, February 2018. (Acceptance Ratio: 21.5%) *This work was conducted when the first author was an intern at NEC Labs, mentored by me, who was a researcher at NEC. [PDF]
  3. [NDSS'18] Yue Duan, Mu Zhang, Abhishek Vasisht Bhaskar, Heng Yin, Xiaorui Pan, Tongxin Li, Xueqiang Wang, XiaoFeng Wang. "Things You May Not Know About Android (Un)Packers: A Systematic Study based on Whole-System Emulation", appeared in Proceedings of Network and Distributed System Security SymposiumSan Diego, CA, February 2018. (Acceptance Ratio: 21.5%) [PDF]
  4. [NDSS'16] Curtis Carmony, Mu Zhang, Xunchao Hu, Abhishek Vasisht Bhaskar and Heng Yin, "Extract Me If You Can: Abusing PDF Parsers in Malware Detectors", appeared in Proceedings of Network and Distributed System Security SymposiumSan Diego, CA, February 2016. (Acceptance Ratio: 15.4%) [PDF]
  5. [CCS'15] Mu ZhangYue Duan, Qian Feng and Heng Yin, "Towards Automatic Generation of Security-Centric Descriptions for Android Apps", appeared in Proceedings of the 22nd ACM Conference on Computer and Communications SecurityDenver, Colorado, October 2015. (Acceptance Ratio: 19.3%) [PDF][Slides]
  6. [CCS'14] Mu ZhangYue Duan, Heng Yin and Zhiruo Zhao, "Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs", appeared in the 21th ACM Conference on Computer and Communications Security, Scottsdale, Arizona, USA, November 2014. (Acceptance Ratio: 19.5%) [PDF][Slides]
  7. [NDSS'14] Mu Zhang and Heng Yin, "AppSealer: Automatic Generation of Vulnerability-Specific Patches for Preventing Component Hijacking Attacks in Android Applications", appeared in the 21st Annual Network & Distributed System Security Symposium, San Diego, CA, February 2014. (Acceptance Ratio: 18.6%) [PDF][Slides]