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Limin Yang
Limin Yang
Microsoft
Geverifieerd e-mailadres voor microsoft.com - Homepage
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{CADE}: Detecting and explaining concept drift samples for security applications
L Yang, W Guo, Q Hao, A Ciptadi, A Ahmadzadeh, X Xing, G Wang
30th USENIX Security Symposium (USENIX Security 21), 2327-2344, 2021
2022021
Measuring and modeling the label dynamics of online {Anti-Malware} engines
S Zhu, J Shi, L Yang, B Qin, Z Zhang, L Song, G Wang
29th USENIX Security Symposium (USENIX Security 20), 2361-2378, 2020
1852020
Opening the blackbox of virustotal: Analyzing online phishing scan engines
P Peng, L Yang, L Song, G Wang
Proceedings of the Internet Measurement Conference, 478-485, 2019
1592019
BODMAS: An open dataset for learning based temporal analysis of PE malware
L Yang, A Ciptadi, I Laziuk, A Ahmadzadeh, G Wang
2021 IEEE Security and Privacy Workshops (SPW), 78-84, 2021
1322021
Understanding the reproducibility of crowd-reported security vulnerabilities
D Mu, A Cuevas, L Yang, H Hu, X Xing, B Mao, G Wang
27th USENIX Security Symposium (USENIX Security 18), 919-936, 2018
1292018
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
L Yang, Z Chen, J Cortellazzi, F Pendlebury, K Tu, F Pierazzi, L Cavallaro, ...
2023 IEEE Symposium on Security and Privacy (SP), 2023
352023
Benchmarking label dynamics of virustotal engines
S Zhu, Z Zhang, L Yang, L Song, G Wang
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020
272020
Vuldigger: A just-in-time and cost-aware tool for digging vulnerability-contributing changes
L Yang, et al.
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-7, 2017
272017
A case study of the security vetting process of smart-home assistant applications
H Hu, L Yang, S Lin, G Wang
2020 IEEE Security and Privacy Workshops (SPW), 76-81, 2020
25*2020
Characterizing user behaviors in location-based find-and-flirt services: Anonymity and demographics: A WeChat Case Study
M Xue, L Yang, KW Ross, H Qian
Peer-to-peer networking and applications 10, 357-367, 2017
232017
Everybody’s Got ML, Tell Me What Else You Have: Practitioners’ Perception of ML-Based Security Tools and Explanations
J Mink, H Benkraouda, L Yang, A Ciptadi, A Ahmadzadeh, D Votipka, ...
2023 IEEE Symposium on Security and Privacy (SP), 2023
152023
Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors
Z Chen, Z Zhang, Z Kan, L Yang, J Cortellazzi, F Pendlebury, F Pierazzi, ...
6th Deep Learning Security and Privacy Workshop, 2023
92023
True attacks, attack attempts, or benign triggers? an empirical measurement of network alerts in a security operations center
L Yang, Z Chen, C Wang, Z Zhang, S Booma, P Cao, C Adam, A Withers, ...
33rd USENIX Security Symposium (USENIX Security 24), 1525-1542, 2024
32024
Machine learning for security applications under dynamic and adversarial environments
L Yang
University of Illinois at Urbana-Champaign, 2023
2023
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Artikelen 1–14