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Xiang Ling

4 accepted papers

2026

VFCionX: Bridging Large and Small Models for Robust Vulnerability-Fixing Commit Identification

AAAI 2026technical

Vulnerability-Fixing Commit Identification(VFCI) is a critical task in software security maintenance that aims to automatically identify code commits that patch security vulnerabilities. However, existing approaches face challenges in handling low-quality commit messages and entangled commits, which

Cited by 0SourcePDFScholar
2025

AIA: Autoregression-Based Injection Attacks Against Text2SQL Models

AAAI 2025technical

To facilitate understanding of users' diverse queries against the back-end databases in web applications, researchers have introduced Text-to-SQL (Text2SQL) models that can generate well-structured SQL queries from users' query texts in natural language. As the Text2SQL model decouples the user quer…

Cited by 0SourcePDFScholar
2022

Filter Pruning via Feature Discrimination in Deep Neural Networks

ECCV 2022poster

"Filter pruning is one of the most effective methods to compress deep convolutional networks (CNNs). In this paper, as a key component in filter pruning, We first propose a feature discrimination based filter importance criterion, namely Receptive Field Criterion (RFC). It turns the maximum activati…

Cited by 28SourcePDFScholar
2022

Robust Network Architecture Search via Feature Distortion Restraining

ECCV 2022poster

"The vulnerability of DNNs severely limits the application of it in the security-sensitive domains. Most of the existing methods improve the robustness of models from weight optimization, such as adversarial training and regularization. However, the architecture is also a key factor to robustness, w…

Cited by 7SourcePDFScholar