Limin Yang   (杨利民)

I am a third-year Ph.D. candidate of Computer Science at UIUC.
I focus on machine learning security, measurement, and explainable AI.
My advisor is Prof. Gang Wang.
I also work closely with Prof. Xinyu Xing and Prof. Linhai Song from Penn State.

Office: Room 4111, Thomas M. Siebel Center, Urbana, IL 61801. Work from home at Los Angeles.

05/17/2021 First day at TikTok (ByteDance) as a Security Engineering Intern.
Thanks for the opportunity, Dr. Yu Ding and Dr. Hui Cao!
04/09/2021 Just passed my qualifier exam. Now I'm officially a Ph.D. candidate!
02/24/2021 Our paper got accepted to the DLS workshop. We release a new PE malware dataset for ML research [download link].
11/30/2020 I will be serving as a Shadow PC at Oakland 2021.
09/30/2020 Our USENIX Security'21 paper got accepted! Thanks for everyone who helped me!
Conference Papers
[USENIX Security'21] CADE: Detecting and Explaining Concept Drift Samples for Security Applications
Limin Yang, Wenbo Guo, Qingying Hao, Arridhana Ciptadi, Ali Ahmadzadeh, Xinyu Xing, Gang Wang
PDF / Supplementary PDF / Code / Slides / Video / Artifact Evaluated
TL;DR: Contrastive learning can help detect drifting samples from previously unseen classes and distance-based explanation can find out why such drifting samples are different from existing classes.

[USENIX Security'20] Measuring and Modeling the Label Dynamics of Online Anti-Malware Engines
Shuofei Zhu, Jianjun Shi, Limin Yang, Boqin Qin, Ziyi Zhang, Linhai Song, Gang Wang
PDF / Data / Artifact Evaluated
TL;DR: How to aggregate VirusTotal labels more properly?
[IMC'19] Opening the Blackbox of VirusTotal: Analyzing Online Phishing Scan Engines
Peng Peng, Limin Yang, Linhai Song, Gang Wang
PDF / Data
TL;DR: Control simple phishing sites to see how bad and inconsistent of the URL detection provided by VirusTotal and security vendors' own APIs.
[USENIX Security'18] Understanding the Reproducibility of Crowd-reported Security Vulnerabilities
Dongliang Mu, Alejandro Cuevas, Limin Yang, Hang Hu, Xinyu Xing, Bing Mao, Gang Wang
PDF / Data
TL;DR: Provide quantitive evidence on the prevalence of missing information in vulnerability reports and low reproducibility by manually reproduce 368 memory corruption bugs.
[GLOBECOM'17] VulDigger: A Just-in-Time and Cost-Aware Tool for Digging Vulnerability-Contributing Changes
Limin Yang, et al.
TL;DR: Use metadata and heuristics to predict whether a git commit introduced a vulnerability.
Journal / Workshop Papers
[DLS'21] BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware
Limin Yang, Arridhana Ciptadi, Ihar Laziuk, Ali Ahmadzadeh, Gang Wang
PDF / Slides / Data / Code
TL;DR: We collaborate with Blue Hexagon to release an open Windows PE malware dataset with timestamped metadata as well as curated malware family labels.
[SafeThings'20] A Case Study of the Security Vetting Process of Smart-home Assistant Applications
Hang Hu, Limin Yang, Shihan Lin, Gang Wang
TL;DR: Verify that replay attack and SQL injection are feasible in Amazon Alexa / Google Home apps.
[PPNA'17] Characterizing User Behaviors in Location-based Find-and-Flirt Services: Anonymity and Demographics
Minhui Xue, Limin Yang, Keith W. Ross, Haifeng Qian
TL;DR: Who used the WeChat "People Nearby" feature more often?
TikTok Security Engineering Intern, California, US, 05/2021 – 08/2021
Mentors: Dr. Dazhuo Li and Dr. Hamed Ashouri
Penn State Research Intern, Pennsylvania, US, 09/2017 – 02/2018
Mentors: Dr. Xinyu Xing and Dr. Gang Wang
Peking University Exploit Intern, Beijing, China, 07/2015 – 08/2015
Mentors: Dr. Yu Ding and Dr. Xinhui Han.
2021 CCS Student Conference Grant
2017 ECNU Graduate Student Overseas Research Scholarship
2013-2015 ECNU Top-notch Innovative Personnel Training Plan
2019 Spring CS-4264 Principles of Computer Security, Virginia Tech, Teaching Assistant
2018 Fall CS-3114 Data Structures and Algorithms, Virginia Tech, Teaching Assistant
Professional Services
[Oakland'21] IEEE Symposium on Security and Privacy, Student PC
[Patterns'21] Patterns (a data science journal by Cell Press), Reviewer
Upcoming Deadlines
Oakland'22 April 15, August 19, December 2, 2021. San Francisco, CA.
CCS'21 January 20, May 6, 2021. Seoul, South Korea.
USENIX Sec'22 June 8, October 12, 2021; February 1, 2022. Boston, MA.

Miscellaneous I'm also a minimalism photographer:

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