:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Israfeel, Md
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning Software Engineering
Online Access:	https://arxiv.org/abs/2605.22604
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cyber Threat Detection and Vulnerability Assessment System using Generative AI and Large Language Model
by: M, Keerthi Kumar., et al.
Published: (2026)

Constrained Decoding for Secure Code Generation
by: Fu, Yanjun, et al.
Published: (2024)

Instruction Tuning for Secure Code Generation
by: He, Jingxuan, et al.
Published: (2024)

Prompting Techniques for Secure Code Generation: A Systematic Investigation
by: Tony, Catherine, et al.
Published: (2024)

Security smells in infrastructure as code: a taxonomy update beyond the seven sins
by: War, Aicha, et al.
Published: (2025)

AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection
by: Charoenwet, Wachiraphan, et al.
Published: (2026)

Operationalising Artificial Intelligence Bills of Materials (AIBOMs) for Verifiable AI Provenance and Lifecycle Assurance
by: Radanliev, Petar, et al.
Published: (2026)

We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs
by: Spracklen, Joseph, et al.
Published: (2024)

A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Data using SMOTETomek and FedProx
by: Tertulino, Rodrigo
Published: (2025)

Differentiated Directional Intervention A Framework for Evading LLM Safety Alignment
by: Zhang, Peng, et al.
Published: (2025)

Which PPML Would a User Choose? A Structured Decision Support Framework for Developers to Rank PPML Techniques Based on User Acceptance Criteria
by: Löbner, Sascha, et al.
Published: (2024)

Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers
by: Chen, Simin, et al.
Published: (2025)

Securing the Future of IVR: AI-Driven Innovation with Agile Security, Data Regulation, and Ethical AI Integration
by: Shaikh, Khushbu Mehboob, et al.
Published: (2025)

MILE: A Mutation Testing Framework of In-Context Learning Systems
by: Wei, Zeming, et al.
Published: (2024)

Python Fuzzing for Trustworthy Machine Learning Frameworks
by: Yegorov, Ilya, et al.
Published: (2024)

Predicting Likely-Vulnerable Code Changes: Machine Learning-based Vulnerability Protections for Android Open Source Project
by: Yim, Keun Soo
Published: (2024)

Alleviating Attack Data Scarcity: SCANIA's Experience Towards Enhancing In-Vehicle Cyber Security Measures
by: Sundfeldt, Frida, et al.
Published: (2025)

Security Degradation in Iterative AI Code Generation -- A Systematic Analysis of the Paradox
by: Shukla, Shivani, et al.
Published: (2025)

HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data
by: Hajipour, Hossein, et al.
Published: (2024)

Inference-Time Safety For Code LLMs Via Retrieval-Augmented Revision
by: Mukherjee, Manisha, et al.
Published: (2026)

Detection of security smells in IaC scripts through semantics-aware code and language processing
by: War, Aicha, et al.
Published: (2025)

StepShield: When, Not Whether to Intervene on Rogue Agents
by: Felicia, Gloria, et al.
Published: (2026)

VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction
by: Chukkol, Abdulrahman Hamman Adama, et al.
Published: (2024)

Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications
by: Asthana, Shubhi, et al.
Published: (2025)

LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations
by: Ye, Ziyang, et al.
Published: (2025)

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction
by: Wei, Zeming, et al.
Published: (2025)

Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
by: He, Ping, et al.
Published: (2025)

Traversal-as-Policy: Log-Distilled Gated Behavior Trees as Externalized, Verifiable Policies for Safe, Robust, and Efficient Agents
by: Li, Peiran, et al.
Published: (2026)

Tady: A Neural Disassembler without Structural Constraint Violations
by: Qin, Siliang, et al.
Published: (2025)

Evaluating LLaMA 3.2 for Software Vulnerability Detection
by: Gonçalves, José, et al.
Published: (2025)

Revisiting Pre-trained Language Models for Vulnerability Detection
by: Li, Youpeng, et al.
Published: (2025)

SCoPE: Evaluating LLMs for Software Vulnerability Detection
by: Gonçalves, José, et al.
Published: (2024)

Software Vulnerability Detection Using a Lightweight Graph Neural Network
by: Farmer, Miles, et al.
Published: (2026)

Assessing the Software Security Comprehension of Large Language Models
by: Siddiq, Mohammed Latif, et al.
Published: (2025)

Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning
by: Gu, Shanzhi, et al.
Published: (2025)

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection
by: Sheng, Zhang, et al.
Published: (2025)

A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools
by: Teuwen, Koen T. W.
Published: (2024)

LUNA: A Model-Based Universal Analysis Framework for Large Language Models
by: Song, Da, et al.
Published: (2023)

Who Audits the Auditor? Tamper-Proof Fraud Detection with Blockchain-Anchored Explainable ML
by: Wang, Zhaohui
Published: (2026)

CyberRAG: An Agentic RAG cyber attack classification and reporting tool
by: Blefari, Francesco, et al.
Published: (2025)