:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Young, Richard J., Moody, Gregory D.
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Computation and Language Machine Learning K.6.5; I.2.7; D.4.6
Online Access:	https://arxiv.org/abs/2605.28734
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Refusal Evaluation in Coding LLMs and Code Agents: A Systematic Review of Thirteen Malicious-Code Prompt Corpora (2023-2025)
by: Young, Richard J., et al.
Published: (2026)

A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts
by: Young, Richard J., et al.
Published: (2026)

Predicting Known Vulnerabilities from Attack Descriptions Using Sentence Transformers
by: Othman, Refat
Published: (2026)

AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models
by: Dawson, Ads, et al.
Published: (2025)

The Automation Advantage in AI Red Teaming
by: Mulla, Rob, et al.
Published: (2025)

AgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context Purification
by: Zhang, Tian, et al.
Published: (2026)

AegisShield: Democratizing Cyber Threat Modeling with Generative AI
by: Grofsky, Matthew
Published: (2025)

Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Study
by: Khatiwala, Jeel Piyushkumar, et al.
Published: (2026)

Multilingual AI-Driven Password Strength Estimation with Similarity-Based Detection
by: Palaniappan, Nikitha M., et al.
Published: (2026)

Towards Agentic Investigation of Security Alerts
by: Eilertsen, Even, et al.
Published: (2026)

SBASH: a Framework for Designing and Evaluating RAG vs. Prompt-Tuned LLM Honeypots
by: Adebimpe, Adetayo, et al.
Published: (2025)

Benchmarking Large Language Models for IoC Recovery under Adversarial Code Obfuscation and Encryption
by: Morales, Jaime, et al.
Published: (2026)

Governance Architecture for Autonomous Agent Systems: Threats, Framework, and Engineering Practice
by: Ge, Yuxu
Published: (2026)

A Secure, Manifest-Based Framework for Delegated Privilege Promotion
by: Chowdhury, Rajarshi, et al.
Published: (2026)

AI Bill of Materials and Beyond: Systematizing Security Assurance through the AI Risk Scanning (AIRS) Framework
by: Nathanson, Samuel, et al.
Published: (2025)

Safeguarding Virtual Healthcare: A Novel Attacker-Centric Model for Data Security and Privacy
by: Herath, Suvineetha, et al.
Published: (2024)

Security Considerations for Multi-agent Systems
by: Nguyen, Tam, et al.
Published: (2026)

MASH: Evading Black-Box AI-Generated Text Detectors via Style Humanization
by: Gu, Yongtong, et al.
Published: (2026)

Dr. Jekyll and Mr. Hyde: Two Faces of LLMs
by: Collu, Matteo Gioele, et al.
Published: (2023)

Static Attribution of Android Residential Proxy Malware Using Graph Kernels
by: Clark, Peter, et al.
Published: (2026)

RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks
by: Chakraborty, Amit, et al.
Published: (2025)

Measuring Harmfulness of Computer-Using Agents
by: Tian, Aaron Xuxiang, et al.
Published: (2025)

IDFace: Face Template Protection for Efficient and Secure Identification
by: Kim, Sunpill, et al.
Published: (2025)

Fool Me If You Can: On the Robustness of Binary Code Similarity Detection Models against Semantics-preserving Transformations
by: Uhm, Jiyong, et al.
Published: (2026)

Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers
by: Wang, Haochuan Kevin, et al.
Published: (2026)

RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code
by: Chen, Jiachi, et al.
Published: (2024)

Send to which account? Evaluation of an LLM-based Scambaiting System
by: Siadati, Hossein, et al.
Published: (2025)

Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps
by: Chona, Alankrit, et al.
Published: (2026)

Countermind: A Multi-Layered Security Architecture for Large Language Models
by: Schwarz, Dominik
Published: (2025)

Can AI Keep a Secret? Contextual Integrity Verification: A Provable Security Architecture for LLMs
by: Gupta, Aayush
Published: (2025)

Amplifying Training Data Exposure through Fine-Tuning with Pseudo-Labeled Memberships
by: Oh, Myung Gyo, et al.
Published: (2024)

Semantic Superiority vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psycholinguistics for Business Email Compromise Detection
by: Adjei, Yaw Osei, et al.
Published: (2025)

Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models
by: Syed, Mohammed Sameer, et al.
Published: (2026)

ARMOUR US: Android Runtime Zero-permission Sensor Usage Monitoring from User Space
by: Long, Yan, et al.
Published: (2025)

Memory Forensics Techniques for Automated Detection and Analysis of Go Malware
by: Ali, Hala, et al.
Published: (2026)

The Discovery, Disclosure, and Investigation of CVE-2024-25825
by: Chasens, Hunter
Published: (2025)

Post-quantum Federated Learning: Secure And Scalable Threat Intelligence For Collaborative Cyber Defense
by: Nayak, Prabhudarshi, et al.
Published: (2026)

Silent Consent, Persistent Risk: Android Permission Groups and Custom Permissions
by: Akanji, Olawale Amos, et al.
Published: (2026)

Dynamic Vulnerability Patching for Heterogeneous Embedded Systems Using Stack Frame Reconstruction
by: Zhou, Ming, et al.
Published: (2025)

vCause: Efficient and Verifiable Causality Analysis for Cloud-based Endpoint Auditing
by: Song, Qiyang, et al.
Published: (2026)