Cover Image

SeBERTis: A Framework for Producing Classifiers of Security-Related Issue Reports

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Masoumzadeh, Sogol, Li, Yufei, McIntosh, Shane, Varró, Dániel, Wei, Lili
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Machine Learning Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting Vulnerabilities from Issue Reports for Internet-of-Things
by: Masoumzadeh, Sogol
Published: (2025)

LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
by: Mathews, Noble Saji, et al.
Published: (2024)

TELSAFE: Security Gap Quantitative Risk Assessment Framework
by: Siddiqui, Sarah Ali, et al.
Published: (2025)

Developments in Connected Vehicles and the Requirement for Increased Cybersecurity
by: Garrad, Phillip, et al.
Published: (2021)

Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets
by: Chakraborty, Partha, et al.
Published: (2024)

Automatically Detecting Checked-In Secrets in Android Apps: How Far Are We?
by: Li, Kevin, et al.
Published: (2024)

An Extensible Framework for Architecture-Based Data Flow Analysis for Information Security
by: Boltz, Nicolas, et al.
Published: (2024)

Security Is Relative: Training-Free Vulnerability Detection via Multi-Agent Behavioral Contract Synthesis
by: Wang, Yongchao, et al.
Published: (2026)

SEDAC: A CVAE-Based Data Augmentation Method for Security Bug Report Identification
by: Liao, Y., et al.
Published: (2024)

SecDOAR: A Software Reference Architecture for Security Data Orchestration, Analysis and Reporting
by: Chauhan, Muhammad Aufeef, et al.
Published: (2024)

How Far are App Secrets from Being Stolen? A Case Study on Android
by: Wei, Lili, et al.
Published: (2025)

SecMLOps: A Comprehensive Framework for Integrating Security Throughout the MLOps Lifecycle
by: Zhang, Xinrui, et al.
Published: (2026)

When AI Takes the Wheel: Security Analysis of Framework-Constrained Program Generation
by: Liu, Yue, et al.
Published: (2025)

Investigating Vulnerability Disclosures in Open-Source Software Using Bug Bounty Reports and Security Advisories
by: Ayala, Jessy, et al.
Published: (2025)

Integrating Log-Based Security Analytics in Agile Workflows: A Real-World Experience Report
by: Thool, Arpit, et al.
Published: (2026)

IssueGuard: Real-Time Secret Leak Prevention Tool for GitHub Issue Reports
by: Rahman, Md Nafiu, et al.
Published: (2026)

Super Mario in the Pernicious Kingdoms: Classifying glitches in old games
by: Forward, Llewellyn, et al.
Published: (2024)

Reinforcement Learning-Driven Adaptation Chains: A Robust Framework for Multi-Cloud Workflow Security
by: Soveizi, Nafiseh, et al.
Published: (2025)

FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis
by: He, Yiling, et al.
Published: (2023)

Aligning Security Compliance and DevOps: A Longitudinal Study
by: Moyón, Fabiola, et al.
Published: (2025)

Security study based on the Chatgptplugin system: ldentifying Security Vulnerabilities
by: Ren, Ruomai
Published: (2025)

Leveraging Security Observability to Strengthen Security of Digital Ecosystem Architecture
by: Ramachandran, Renjith
Published: (2024)

Security Incentivization: An Empirical Study of how Micropayments Impact Code Security
by: Rass, Stefan, et al.
Published: (2026)

A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
by: Tan, Kai, et al.
Published: (2025)

SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties
by: Okafor, Chinenye, et al.
Published: (2024)

How Secure is Secure Code Generation? Adversarial Prompts Put LLM Defenses to the Test
by: Tessa, Melissa, et al.
Published: (2026)

Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems
by: Cao, Sicong, et al.
Published: (2024)

Numeric Truncation Security Predicate
by: Mezhuev, Timofey, et al.
Published: (2023)

LLM Security Guard for Code
by: Kavian, Arya, et al.
Published: (2024)

An Introduction to Adaptive Software Security
by: Nia, Mehran Alidoost
Published: (2023)

Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies
by: Jain, Ridhi, et al.
Published: (2024)

Characterizing and Modeling the GitHub Security Advisories Review Pipeline
by: Segal, Claudio, et al.
Published: (2026)

LLM-Powered Detection of Price Manipulation in DeFi
by: Liu, Lu, et al.
Published: (2025)

Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
by: Lin, Bo, et al.
Published: (2025)

GenSIaC: Toward Security-Aware Infrastructure-as-Code Generation with Large Language Models
by: Li, Yikun, et al.
Published: (2025)

An Empirical Study on the Security Vulnerabilities of GPTs
by: Wu, Tong, et al.
Published: (2025)

120 Domain-Specific Languages for Security
by: Krausz, Markus, et al.
Published: (2024)

An Exploratory Study on the Engineering of Security Features
by: Hermann, Kevin, et al.
Published: (2025)

LLMs for Cyber Security: New Opportunities
by: Divakaran, Dinil Mon, et al.
Published: (2024)

A User-centered Security Evaluation of Copilot
by: Asare, Owura, et al.
Published: (2023)