Mu Zhang
        
    
    Assistant Professor
    University of Utah

    muzhang [at] cs [dot] utah [dot] edu

    Office: MEB 2168
    


About Me

I am an Assistant Professor in the School of Computing at University of Utah. Previously, I was a Postdoctoral Associate at Cornell University. Before that, I was a Research Staff Member at NEC Labs America.

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


Job Openings

I have several RA openings available. I'm looking for students who have strong interests in security, systems or programming languages, especially the ones with strong programming skills (e.g., C/C++, Java, etc.) and/or good understanding about operating systems (e.g., Linux, Windows, Android, iOS, etc.). If you are interested, please feel free to drop me an email!


News
  • 7/2019: Our paper "Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy" is conditionally accepted in OOPSLA 2019.
  • 11/2018: Our paper "Towards Automated Safety Vetting of PLC Code in Real-World Plants" is accepted in Oakland 2019.

Selected Publications (Full, Google Scholar, dblp)
  • [OOPSLA'19] Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song, "Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy", Conditionally Accepted in 2019 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications, Athens, Greece, October 2019.
  • [Oakland'19] Mu Zhang, Chien-Ying Chen, Bin-Chou Kao, Yassine Qamsane, Yuru Shao, Yikai Lin, Elaine Shi, Sibin Mohan, Kira Barton, James Moyne, Z. Morley Mao, "Towards Automated Safety Vetting of PLC Code in Real-World Plants", appeared in the 40th IEEE Symposium on Security and Privacy, San Francisco, CA, May 2019. (Acceptance Ratio: 12%) [PDF]
  • [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", appeared in The 25th ACM Conference on Computer and Communications Security, Toronto, Canada, October 2018. (Acceptance Ratio: 16.6%) [PDF]
  • [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 Research Staff Member at NEC. [PDF]
  • [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]
  • [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]
  • [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]
  • [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]
  • [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]