4 papers
A Comprehensive Study of Bugs in Modern Distributed Deep Learning Systems
Xiaoxue Ma, Wanwei Zhan, Jiale Chen +3
In today's data-driven era, deep learning is vital for processing massive datasets, yet single-device training is constrained by computational and memory limits. Distributed deep l…
PerProb: Indirectly Evaluating Memorization in Large Language Models
Yihan Liao, Jacky Keung, Xiaoxue Ma +2
The rapid advancement of Large Language Models (LLMs) has been driven by extensive datasets that may contain sensitive information, raising serious privacy concerns. One notable th…
Exposing and Defending Membership Leakage in Vulnerability Prediction Models
Yihan Liao, Jacky Keung, Xiaoxue Ma +2
Neural models for vulnerability prediction (VP) have achieved impressive performance by learning from large-scale code repositories. However, their susceptibility to Membership Inf…
Practitioners' Expectations on Log Anomaly Detection
Xiaoxue Ma, Yishu Li, Jacky Keung +5
Log anomaly detection has become a common practice for software engineers to analyze software system behavior. Despite significant research efforts in log anomaly detection over th…