research
∙
05/26/2023
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
Many ML-based approaches have been proposed to automatically detect, loc...
share
research
∙
05/26/2023
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities
Deep learning (DL) models have become increasingly popular in identifyin...
research
∙
05/04/2023
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain
International maritime crime is becoming increasingly sophisticated, oft...
research
∙
05/04/2023
Few-shot Domain-Adaptive Visually-fused Event Detection from Text
Incorporating auxiliary modalities such as images into event detection m...
research
∙
05/01/2023
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study
In the context of mobile sensing environments, various sensors on mobile...
research
∙
10/29/2022
Application of Knowledge Distillation to Multi-task Speech Representation Learning
Model architectures such as wav2vec 2.0 and HuBERT have been proposed to...
research
∙
09/27/2022
Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations
Interpretable machine learning seeks to understand the reasoning process...
research
∙
09/20/2022
An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability
Software vulnerabilities existing in a program or function of computer s...
research
∙
09/19/2022
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle
Software vulnerabilities (SVs) have become a common, serious and crucial...
research
∙
07/07/2022
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Interpretable machine learning offers insights into what factors drive a...
research
∙
03/21/2022
Paraphrasing Techniques for Maritime QA system
There has been an increasing interest in incorporating Artificial Intell...
research
∙
10/14/2021
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Identifying vulnerabilities in the source code is essential to protect t...
research
∙
10/03/2021
Multi-task Voice Activated Framework using Self-supervised Learning
Self-supervised learning methods such as wav2vec 2.0 have shown promisin...
research
∙
07/06/2021
Asymptotic Analysis of Max-Min Weighted SINR for IRS-Assisted MISO Systems with Hardware Impairments
We focus on the realistic maximization of the uplink minimum signal-to-i...
research
∙
04/26/2018
