124 citations · 195 across the 12 of their papers we have counts for
12 papers
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
Minghua Ma, Zhao Tian, Max Hort +4
Fairness testing aims at mitigating unintended discrimination in the decision-making process of data-driven AI systems. Individual discrimination may occur when an AI model makes d…
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang +3
Third-party libraries (TPLs) are reused frequently in software applications for reducing development cost. However, they could introduce security risks as well. Many TPL detection…
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He +9
Logs provide first-hand information for engineers to diagnose failures in large-scale online service systems. Log parsing, which transforms semi-structured raw log messages into st…
LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection
Yongzheng Xie, Hongyu Zhang, Bo Zhang +2
Log analysis is an important technique that engineers use for troubleshooting faults of large-scale service-oriented systems. In this study, we propose a novel semi-supervised log-…
Log-based Anomaly Detection Without Log Parsing
Van-Hoang Le, Hongyu Zhang
Software systems often record important runtime information in system logs for troubleshooting purposes. There have been many studies that use log data to construct machine learnin…
Graph-based Incident Aggregation for Large-Scale Online Service Systems
Zhuangbin Chen, Jinyang Liu, Yuxin Su +5
As online service systems continue to grow in terms of complexity and volume, how service incidents are managed will significantly impact company revenue and user trust. Due to the…