Textual analysis of End User License Agreement for red-flagging potentially malicious software
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Khan, Behraj, Syed, Tahir, Khan, Zeshan, Rafi, Muhammad |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Security Degradation in Iterative AI Code Generation -- A Systematic Analysis of the Paradox
par: Shukla, Shivani, et autres
Publié: (2025)
par: Shukla, Shivani, et autres
Publié: (2025)
Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE
par: Steenhoek, Benjamin, et autres
Publié: (2024)
par: Steenhoek, Benjamin, et autres
Publié: (2024)
TOSSS: a CVE-based Software Security Benchmark for Large Language Models
par: Damie, Marc, et autres
Publié: (2026)
par: Damie, Marc, et autres
Publié: (2026)
I still know it's you! On Challenges in Anonymizing Source Code
par: Horlboge, Micha, et autres
Publié: (2022)
par: Horlboge, Micha, et autres
Publié: (2022)
Black-Box Adversarial Attacks on LLM-Based Code Completion
par: Jenko, Slobodan, et autres
Publié: (2024)
par: Jenko, Slobodan, et autres
Publié: (2024)
Large Language Models for Code: Security Hardening and Adversarial Testing
par: He, Jingxuan, et autres
Publié: (2023)
par: He, Jingxuan, et autres
Publié: (2023)
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models
par: Berabi, Berkay, et autres
Publié: (2024)
par: Berabi, Berkay, et autres
Publié: (2024)
Inferring Properties of Graph Neural Networks
par: Nguyen, Dat, et autres
Publié: (2024)
par: Nguyen, Dat, et autres
Publié: (2024)
ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants
par: Xu, Xiangzhe, et autres
Publié: (2025)
par: Xu, Xiangzhe, et autres
Publié: (2025)
PurpCode: Reasoning for Safer Code Generation
par: Liu, Jiawei, et autres
Publié: (2025)
par: Liu, Jiawei, et autres
Publié: (2025)
Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
par: Zhuo, Terry Yue, et autres
Publié: (2025)
par: Zhuo, Terry Yue, et autres
Publié: (2025)
From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localization
par: Xi, Haoran, et autres
Publié: (2025)
par: Xi, Haoran, et autres
Publié: (2025)
On the Security Vulnerabilities of Text-to-SQL Models
par: Peng, Xutan, et autres
Publié: (2022)
par: Peng, Xutan, et autres
Publié: (2022)
Translating C To Rust: Lessons from a User Study
par: Li, Ruishi, et autres
Publié: (2024)
par: Li, Ruishi, et autres
Publié: (2024)
Which PPML Would a User Choose? A Structured Decision Support Framework for Developers to Rank PPML Techniques Based on User Acceptance Criteria
par: Löbner, Sascha, et autres
Publié: (2024)
par: Löbner, Sascha, et autres
Publié: (2024)
Security and Quality in LLM-Generated Code: A Multi-Language, Multi-Model Analysis
par: Kharma, Mohammed, et autres
Publié: (2025)
par: Kharma, Mohammed, et autres
Publié: (2025)
RESCUE: Retrieval Augmented Secure Code Generation
par: Shi, Jiahao, et autres
Publié: (2025)
par: Shi, Jiahao, et autres
Publié: (2025)
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection
par: Luan, Xiaokun, et autres
Publié: (2024)
par: Luan, Xiaokun, et autres
Publié: (2024)
THEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models
par: Huang, Yujin, et autres
Publié: (2025)
par: Huang, Yujin, et autres
Publié: (2025)
Enhancing Cloud Security through Topic Modelling
par: Saleh, Sabbir M., et autres
Publié: (2025)
par: Saleh, Sabbir M., et autres
Publié: (2025)
Repairing vulnerabilities without invisible hands. A differentiated replication study on LLMs
par: Camporese, Maria, et autres
Publié: (2025)
par: Camporese, Maria, et autres
Publié: (2025)
SeBERTis: A Framework for Producing Classifiers of Security-Related Issue Reports
par: Masoumzadeh, Sogol, et autres
Publié: (2025)
par: Masoumzadeh, Sogol, et autres
Publié: (2025)
How Safe Are AI-Generated Patches? A Large-scale Study on Security Risks in LLM and Agentic Automated Program Repair on SWE-bench
par: Sajadi, Amirali, et autres
Publié: (2025)
par: Sajadi, Amirali, et autres
Publié: (2025)
Beimingwu: A Learnware Dock System
par: Tan, Zhi-Hao, et autres
Publié: (2024)
par: Tan, Zhi-Hao, et autres
Publié: (2024)
Towards Predicting Multi-Vulnerability Attack Chains in Software Supply Chains from Software Bill of Materials Graphs
par: Baird, Laura, et autres
Publié: (2026)
par: Baird, Laura, et autres
Publié: (2026)
Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?
par: Le, Triet H. M., et autres
Publié: (2024)
par: Le, Triet H. M., et autres
Publié: (2024)
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
par: Islam, Nafis Tanveer, et autres
Publié: (2024)
par: Islam, Nafis Tanveer, et autres
Publié: (2024)
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
par: Wang, Weizhou, et autres
Publié: (2024)
par: Wang, Weizhou, et autres
Publié: (2024)
Basic Legibility Protocols Improve Trusted Monitoring
par: Sreevatsa, Ashwin, et autres
Publié: (2026)
par: Sreevatsa, Ashwin, et autres
Publié: (2026)
A Large-Scale Exploit Instrumentation Study of AI/ML Supply Chain Attacks in Hugging Face Models
par: Casey, Beatrice, et autres
Publié: (2024)
par: Casey, Beatrice, et autres
Publié: (2024)
Alleviating Attack Data Scarcity: SCANIA's Experience Towards Enhancing In-Vehicle Cyber Security Measures
par: Sundfeldt, Frida, et autres
Publié: (2025)
par: Sundfeldt, Frida, et autres
Publié: (2025)
On Training a Neural Network to Explain Binaries
par: Interrante-Grant, Alexander, et autres
Publié: (2024)
par: Interrante-Grant, Alexander, et autres
Publié: (2024)
Using ML filters to help automated vulnerability repairs: when it helps and when it doesn't
par: Camporese, Maria, et autres
Publié: (2025)
par: Camporese, Maria, et autres
Publié: (2025)
REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)
par: Won, Jun Yeon, et autres
Publié: (2026)
par: Won, Jun Yeon, et autres
Publié: (2026)
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study
par: Le, Triet H. M., et autres
Publié: (2024)
par: Le, Triet H. M., et autres
Publié: (2024)
Strategic Heterogeneous Multi-Agent Architecture for Cost-Effective Code Vulnerability Detection
par: Wang, Zhaohui Geoffrey
Publié: (2026)
par: Wang, Zhaohui Geoffrey
Publié: (2026)
Efficient Software Vulnerability Detection Using Transformer-based Models
par: Shaik, Sameer, et autres
Publié: (2026)
par: Shaik, Sameer, et autres
Publié: (2026)
"You still have to study" -- On the Security of LLM generated code
par: Goetz, Stefan, et autres
Publié: (2024)
par: Goetz, Stefan, et autres
Publié: (2024)
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models
par: Yang, Aidan Z. H., et autres
Publié: (2024)
par: Yang, Aidan Z. H., et autres
Publié: (2024)
MVD: A Multi-Lingual Software Vulnerability Detection Framework
par: Zhang, Boyu, et autres
Publié: (2024)
par: Zhang, Boyu, et autres
Publié: (2024)
Documents similaires
-
Security Degradation in Iterative AI Code Generation -- A Systematic Analysis of the Paradox
par: Shukla, Shivani, et autres
Publié: (2025) -
Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE
par: Steenhoek, Benjamin, et autres
Publié: (2024) -
TOSSS: a CVE-based Software Security Benchmark for Large Language Models
par: Damie, Marc, et autres
Publié: (2026) -
I still know it's you! On Challenges in Anonymizing Source Code
par: Horlboge, Micha, et autres
Publié: (2022) -
Black-Box Adversarial Attacks on LLM-Based Code Completion
par: Jenko, Slobodan, et autres
Publié: (2024)