Cover Image

Advancing Vulnerability Classification with BERT: A Multi-Objective Learning Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Tiwari, Himanshu
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CloudLens: Modeling and Detecting Cloud Security Vulnerabilities
by: Kazdagli, Mikhail, et al.
Published: (2024)

Towards Reinforcement Learning for Exploration of Speculative Execution Vulnerabilities
by: Lai, Evan, et al.
Published: (2025)

Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
by: Wang, Chenrui, et al.
Published: (2025)

SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence
by: Aghaei, Ehsan, et al.
Published: (2025)

MARVEL: Multi-Agent RTL Vulnerability Extraction using Large Language Models
by: Collini, Luca, et al.
Published: (2025)

Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection
by: Pushkar, Chinmay, et al.
Published: (2025)

Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models
by: Hong, Wenjing, et al.
Published: (2026)

Transient Turn Injection: Exposing Stateless Multi-Turn Vulnerabilities in Large Language Models
by: Rayhan, Naheed, et al.
Published: (2026)

A BERT-based Empirical Study of Privacy Policies' Compliance with GDPR
by: Zhang, Lu, et al.
Published: (2024)

Weakest Link in the Chain: Security Vulnerabilities in Advanced Reasoning Models
by: Krishna, Arjun, et al.
Published: (2025)

White-Basilisk: A Hybrid Model for Code Vulnerability Detection
by: Lamprou, Ioannis, et al.
Published: (2025)

Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model
by: Swileh, Mohammed N., et al.
Published: (2024)

Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks
by: Guo, Pengxin, et al.
Published: (2025)

Evaluating Adversarial Vulnerabilities in Modern Large Language Models
by: Perel, Tom
Published: (2025)

Distilling Lightweight Language Models for C/C++ Vulnerabilities
by: Wei, Zhiyuan, et al.
Published: (2025)

Conflicts Make Large Reasoning Models Vulnerable to Attacks
by: Liu, Honghao, et al.
Published: (2026)

Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate
by: Qi, Senmao, et al.
Published: (2025)

A Study of Vulnerability Repair in JavaScript Programs with Large Language Models
by: Le, Tan Khang, et al.
Published: (2024)

Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
by: Nemecek, Alexander, et al.
Published: (2025)

Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models
by: Braun, Tobias, et al.
Published: (2026)

Selection-Based Vulnerabilities: Clean-Label Backdoor Attacks in Active Learning
by: Zhi, Yuhan, et al.
Published: (2025)

Automated Vulnerability Detection in Source Code Using Deep Representation Learning
by: Seas, C., et al.
Published: (2026)

Deep Learning-based Dual Watermarking for Image Copyright Protection and Authentication
by: Padhi, Sudev Kumar, et al.
Published: (2025)

Security Bug Report Prediction Within and Across Projects: A Comparative Study of BERT and Random Forest
by: Soltaniani, Farnaz, et al.
Published: (2025)

Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction
by: Mächtle, Felix, et al.
Published: (2025)

Unvalidated Trust: Cross-Stage Vulnerabilities in Large Language Model Architectures
by: Schwarz, Dominik
Published: (2025)

Deep Learning Under Siege: Identifying Security Vulnerabilities and Risk Mitigation Strategies
by: Al-Karaki, Jamal, et al.
Published: (2024)

Analyzing Healthcare Interoperability Vulnerabilities: Formal Modeling and Graph-Theoretic Approach
by: Mohammed, Jawad, et al.
Published: (2026)

Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks
by: Gibbs, Tom, et al.
Published: (2024)

"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
by: Tan, Zhen, et al.
Published: (2024)

Efficient Federated Intrusion Detection in 5G ecosystem using optimized BERT-based model
by: Adjewa, Frederic, et al.
Published: (2024)

SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection
by: Hasan, Touseef, et al.
Published: (2026)

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach
by: Lin, Zhihao, et al.
Published: (2024)

PrompTrend: Continuous Community-Driven Vulnerability Discovery and Assessment for Large Language Models
by: Gasmi, Tarek, et al.
Published: (2025)

CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection
by: Li, Zhihao, et al.
Published: (2025)

Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models
by: Hossain, Elias, et al.
Published: (2025)

Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection
by: Yu, Jeffy
Published: (2024)

Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning
by: Khan, Arshiya, et al.
Published: (2024)

Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
by: Wang, Xunguang, et al.
Published: (2026)