Cover Image

An Investigation into Misuse of Java Security APIs by Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mousavi, Zahra, Islam, Chadni, Moore, Kristen, Abuadbba, Alsharif, Babar, Muhammad Ali
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting Misuse of Security APIs: A Systematic Review
by: Mousavi, Zahra, et al.
Published: (2023)

Attacks on Third-Party APIs of Large Language Models
by: Zhao, Wanru, et al.
Published: (2024)

Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
by: Roth, Tom, et al.
Published: (2021)

Adversarial Attacks Against Automated Fact-Checking: A Survey
by: Liu, Fanzhen, et al.
Published: (2025)

Data Defenses Against Large Language Models
by: Agnew, William, et al.
Published: (2024)

How Susceptible are Large Language Models to Ideological Manipulation?
by: Chen, Kai, et al.
Published: (2024)

Why People Still Fall for Phishing Emails: An Empirical Investigation into How Users Make Email Response Decisions
by: Jayatilaka, Asangi, et al.
Published: (2024)

APT-Agent: Automated Penetration Testing using Large Language Models
by: Li, William Guanting, et al.
Published: (2026)

Generative AI Misuse Potential in Cyber Security Education: A Case Study of a UK Degree Program
by: Shepherd, Carlton
Published: (2025)

From Solitary Directives to Interactive Encouragement! LLM Secure Code Generation by Natural Language Prompting
by: Liu, Shigang, et al.
Published: (2024)

SecureForge: Finding and Preventing Vulnerabilities in LLM-Generated Code via Prompt Optimization
by: Liu, Houjun, et al.
Published: (2026)

Phare: A Safety Probe for Large Language Models
by: Jeune, Pierre Le, et al.
Published: (2025)

Auditing Prompt Caching in Language Model APIs
by: Gu, Chenchen, et al.
Published: (2025)

Large Language Models as a (Bad) Security Norm in the Context of Regulation and Compliance
by: Ludvigsen, Kaspar Rosager
Published: (2025)

Beyond Context: Large Language Models' Failure to Grasp Users' Intent
by: Hussain, Ahmed M., et al.
Published: (2025)

TombRaider: Entering the Vault of History to Jailbreak Large Language Models
by: Ding, Junchen, et al.
Published: (2025)

Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Study
by: Esposito, Matteo, et al.
Published: (2024)

EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models
by: Mirbagheri, Mohammad Reza, et al.
Published: (2025)

Safety and Security Analysis of Large Language Models: Benchmarking Risk Profile and Harm Potential
by: Akiri, Charankumar, et al.
Published: (2025)

Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models
by: An, Bang, et al.
Published: (2024)

SafeCOMM: A Study on Safety Degradation in Fine-Tuned Telecom Large Language Models
by: Djuhera, Aladin, et al.
Published: (2025)

Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
by: Xu, Naen, et al.
Published: (2025)

SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models
by: Dabiriaghdam, Amirhossein, et al.
Published: (2025)

garak: A Framework for Security Probing Large Language Models
by: Derczynski, Leon, et al.
Published: (2024)

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives
by: Wang, Nan, et al.
Published: (2025)

Building Resilient SMEs: Harnessing Large Language Models for Cyber Security in Australia
by: Kereopa-Yorke, Benjamin
Published: (2023)

ROK-FORTRESS: Measuring the Effect of Geopolitical Transcreation for National Security and Public Safety
by: Lee, Michael S., et al.
Published: (2026)

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework
by: Le, Binh M., et al.
Published: (2024)

Enabling Zero Trust Security in IoMT Edge Network
by: Allouzi, Maha Ali, et al.
Published: (2024)

How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?
by: Li, Yuxuan, et al.
Published: (2026)

RealHarm: A Collection of Real-World Language Model Application Failures
by: Jeune, Pierre Le, et al.
Published: (2025)

The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation
by: Xu, Rongwu, et al.
Published: (2023)

Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature
by: Zhou, Tong, et al.
Published: (2024)

Domain-Independent Deception: A New Taxonomy and Linguistic Analysis
by: Verma, Rakesh M., et al.
Published: (2024)

Get my drift? Catching LLM Task Drift with Activation Deltas
by: Abdelnabi, Sahar, et al.
Published: (2024)

Let's Measure the Elephant in the Room: Facilitating Personalized Automated Analysis of Privacy Policies at Scale
by: Zhao, Rui, et al.
Published: (2025)

ConVerse: Benchmarking Contextual Safety in Agent-to-Agent Conversations
by: Gomaa, Amr, et al.
Published: (2025)

Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" Control
by: Cyberey, Hannah, et al.
Published: (2025)

AI Agents May Always Fall for Prompt Injections
by: Abdelnabi, Sahar, et al.
Published: (2026)

Understanding Users' Security and Privacy Concerns and Attitudes Towards Conversational AI Platforms
by: Ali, Mutahar, et al.
Published: (2025)