Copertina

A Large-Scale Empirical Analysis of Custom GPTs' Vulnerabilities in the OpenAI Ecosystem

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ogundoyin, Sunday Oyinlola, Ikram, Muhammad, Asghar, Hassan Jameel, Zhao, Benjamin Zi Hao, Kaafar, Dali
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Artificial Intelligence Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Unveiling Usability Challenges in Web Privacy Controls
di: Masood, Rahat, et al.
Pubblicazione: (2025)

$d_X$-Privacy for Text and the Curse of Dimensionality
di: Asghar, Hassan Jameel, et al.
Pubblicazione: (2024)

Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions
di: Carpentier, Robin, et al.
Pubblicazione: (2024)

Protecting User Prompts Via Character-Level Differential Privacy
di: Arachchige, Shashie Dilhara Batan, et al.
Pubblicazione: (2026)

Practical, Private Assurance of the Value of Collaboration via Fully Homomorphic Encryption
di: Asghar, Hassan Jameel, et al.
Pubblicazione: (2023)

On the Robustness of Malware Detectors to Adversarial Samples
di: Salman, Muhammad, et al.
Pubblicazione: (2024)

Privacy and Security Threat for OpenAI GPTs
di: Wenying, Wei, et al.
Pubblicazione: (2025)

CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs
di: Arachchige, Shashie Dilhara Batan, et al.
Pubblicazione: (2025)

Property-Preserving Hashing for $\ell_1$-Distance Predicates: Applications to Countering Adversarial Input Attacks
di: Asghar, Hassan, et al.
Pubblicazione: (2025)

An Empirical Study on the Security Vulnerabilities of GPTs
di: Wu, Tong, et al.
Pubblicazione: (2025)

SpaLLM-Guard: Pairing SMS Spam Detection Using Open-source and Commercial LLMs
di: Salman, Muhammad, et al.
Pubblicazione: (2025)

Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model
di: Bontekoe, Tariq, et al.
Pubblicazione: (2024)

GPT in Sheep's Clothing: The Risk of Customized GPTs
di: Antebi, Sagiv, et al.
Pubblicazione: (2024)

Assessing Prompt Injection Risks in 200+ Custom GPTs
di: Yu, Jiahao, et al.
Pubblicazione: (2023)

Opening A Pandora's Box: Things You Should Know in the Era of Custom GPTs
di: Tao, Guanhong, et al.
Pubblicazione: (2023)

Answering Counting Queries with Differential Privacy on a Quantum Computer
di: Mukherjee, Arghya, et al.
Pubblicazione: (2026)

Efficient Fault-Tolerant Quantum Protocol for Differential Privacy in the Shuffle Model
di: Asghar, Hassan Jameel, et al.
Pubblicazione: (2024)

GPTs Window Shopping: An analysis of the Landscape of Custom ChatGPT Models
di: Zhao, Benjamin Zi Hao, et al.
Pubblicazione: (2024)

Evaluating the Effectiveness of OpenAI's Parental Control System
di: Ersoz, Kerem, et al.
Pubblicazione: (2026)

Prompting the Priorities: A First Look at Evaluating LLMs for Vulnerability Triage and Prioritization
di: Haddad, Osama Al, et al.
Pubblicazione: (2025)

Privacy-Preserving IoT in Connected Aircraft Cabin
di: Vyas, Nilesh, et al.
Pubblicazione: (2025)

Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning
di: Deng, Gelei, et al.
Pubblicazione: (2024)

Original Sin of npm: A Study on Vulnerability Propagation in JavaScript Dependency Networks
di: Robinson, Michael, et al.
Pubblicazione: (2026)

Tracing Vulnerability Propagation Across Open Source Software Ecosystems
di: Ruohonen, Jukka, et al.
Pubblicazione: (2025)

Enhancing Malware Fingerprinting through Analysis of Evasive Techniques
di: Abuadbba, Alsharif, et al.
Pubblicazione: (2025)

Detecting Protracted Vulnerabilities in Open Source Projects
di: Sridharkumar, Arjun, et al.
Pubblicazione: (2026)

HackerSignal: A Large-Scale Multi-Source Dataset Linking Hacker Community Discourse to the CVE Vulnerability Lifecycle
di: Ampel, Benjamin M., et al.
Pubblicazione: (2026)

Unveiling Privacy and Security Gaps in Female Health Apps
di: Hassan, Muhammad, et al.
Pubblicazione: (2025)

Security Vulnerabilities in AI-Generated Code: A Large-Scale Analysis of Public GitHub Repositories
di: Schreiber, Maximilian, et al.
Pubblicazione: (2025)

Pro-ZD: A Transferable Graph Neural Network Approach for Proactive Zero-Day Threats Mitigation
di: Basta, Nardine, et al.
Pubblicazione: (2026)

OpenAI's Approach to External Red Teaming for AI Models and Systems
di: Ahmad, Lama, et al.
Pubblicazione: (2025)

Parasites in the Toolchain: A Large-Scale Analysis of Attacks on the MCP Ecosystem
di: Zhao, Shuli, et al.
Pubblicazione: (2025)

In AI Sweet Harmony: Sociopragmatic Guardrail Bypasses and Evaluation-Awareness in OpenAI gpt-oss-20b
di: Durner, Nils
Pubblicazione: (2025)

Tracking GPTs Third Party Service: Automation, Analysis, and Insights
di: Yan, Chuan, et al.
Pubblicazione: (2025)

Microservice Vulnerability Analysis: A Literature Review with Empirical Insights
di: Jayalath, Raveen Kanishka, et al.
Pubblicazione: (2024)

A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis
di: Lin, Zhiwei, et al.
Pubblicazione: (2025)

Cross-Ecosystem Vulnerability Analysis for Python Applications
di: Alexopoulos, Georgios, et al.
Pubblicazione: (2026)

Breaking Precision Time: OS Vulnerability Exploits Against IEEE 1588
di: Soomro, Muhammad Abdullah, et al.
Pubblicazione: (2025)

How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition
di: Dziemian, Mateusz, et al.
Pubblicazione: (2026)

When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs
di: Shen, Xinyue, et al.
Pubblicazione: (2025)