Copertina

Casting a SPELL: Sentence Pairing Exploration for LLM Limitation-breaking

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Huang, Yifan, Jia, Xiaojun, Guo, Wenbo, Sun, Yuqiang, Huang, Yihao, Wang, Chong, Liu, Yang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Artificial Intelligence Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
di: Sun, Yuqiang, et al.
Pubblicazione: (2024)

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap
di: Huang, Feiyang, et al.
Pubblicazione: (2026)

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing
di: Peng, Jiaren, et al.
Pubblicazione: (2026)

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
di: Sun, Yuqiang, et al.
Pubblicazione: (2023)

Bridging Expert Reasoning and LLM Detection: A Knowledge-Driven Framework for Malicious Packages
di: Guo, Wenbo, et al.
Pubblicazione: (2026)

Co-PatcheR: Collaborative Software Patching with Component(s)-specific Small Reasoning Models
di: Tang, Yuheng, et al.
Pubblicazione: (2025)

LLM-enabled Applications Require System-Level Threat Monitoring
di: Zhang, Yedi, et al.
Pubblicazione: (2026)

Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning
di: Ni, Ronghao, et al.
Pubblicazione: (2026)

DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation
di: Huang, Li, et al.
Pubblicazione: (2026)

Learning to Generate Secure Code via Token-Level Rewards
di: Quan, Jiazheng, et al.
Pubblicazione: (2026)

Detecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis
di: Li, Penghui, et al.
Pubblicazione: (2026)

RefleXGen:The unexamined code is not worth using
di: Wang, Bin, et al.
Pubblicazione: (2025)

Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding Practices
di: Patir, Rupam, et al.
Pubblicazione: (2025)

BandFuzz: An ML-powered Collaborative Fuzzing Framework
di: Shi, Wenxuan, et al.
Pubblicazione: (2025)

Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
di: Kong, Ziqiao, et al.
Pubblicazione: (2026)

ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection
di: Weng, Shihao, et al.
Pubblicazione: (2026)

Cutting the Gordian Knot: Detecting Malicious PyPI Packages via a Knowledge-Mining Framework
di: Guo, Wenbo, et al.
Pubblicazione: (2026)

Guiding Symbolic Execution with Static Analysis and LLMs for Vulnerability Discovery
di: Shafiuzzaman, Md, et al.
Pubblicazione: (2026)

DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle
di: Tang, Yuheng, et al.
Pubblicazione: (2026)

Killing Two Birds with One Stone: Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence
di: Zhang, Junan, et al.
Pubblicazione: (2023)

LLM-Assisted Model-Based Fuzzing of Protocol Implementations
di: Huang, Changze, et al.
Pubblicazione: (2025)

AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered Software
di: Yang, Rui, et al.
Pubblicazione: (2025)

Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks
di: Chu, Junjie, et al.
Pubblicazione: (2026)

OpenSage: Self-programming Agent Generation Engine
di: Li, Hongwei, et al.
Pubblicazione: (2026)

A Systematic Study of LLM-Based Architectures for Automated Patching
di: Xu, Qingxiao, et al.
Pubblicazione: (2026)

PentestEval: Benchmarking LLM-based Penetration Testing with Modular and Stage-Level Design
di: Yang, Ruozhao, et al.
Pubblicazione: (2025)

Evaluating Large Language Models for Line-Level Vulnerability Localization
di: Zhang, Jian, et al.
Pubblicazione: (2024)

Testing Storage-System Correctness: Challenges, Fuzzing Limitations, and AI-Augmented Opportunities
di: Wang, Ying, et al.
Pubblicazione: (2026)

QLPro: Automated Code Vulnerability Discovery via LLM and Static Code Analysis Integration
di: Hu, Junze, et al.
Pubblicazione: (2025)

Implicit Patterns in LLM-Based Binary Analysis
di: Li, Qiang, et al.
Pubblicazione: (2026)

MiniScope: Automated UI Exploration and Privacy Inconsistency Detection of MiniApps via Two-phase Iterative Hybrid Analysis
di: Wang, Shenao, et al.
Pubblicazione: (2024)

Security of LLM-generated Code: A Comparative Analysis
di: Morkonda, Srivathsan G, et al.
Pubblicazione: (2026)

The potential of LLM-generated reports in DevSecOps
di: Lykousas, Nikolaos, et al.
Pubblicazione: (2024)

Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study
di: Hou, Xinyi, et al.
Pubblicazione: (2025)

SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
di: Qin, Kaihua, et al.
Pubblicazione: (2026)

SKILLS: Structured Knowledge Injection for LLM-Driven Telecommunications Operations
di: Brett, Ivo
Pubblicazione: (2026)

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
di: Yu, Lei, et al.
Pubblicazione: (2025)

SIR-Bench: Evaluating Investigation Depth in Security Incident Response Agents
di: Begimher, Daniel, et al.
Pubblicazione: (2026)

CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
di: Shi, Jingwei, et al.
Pubblicazione: (2026)

FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction
di: Sheng, Ze, et al.
Pubblicazione: (2026)