Image de couverture de livre

How Good LLM-Generated Password Policies Are?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Vaidya, Vivek, Patwardhan, Aditya, Kundu, Ashish
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Automated Consistency Analysis of LLMs
par: Patwardhan, Aditya, et autres
Publié: (2025)

LLM-Guided Prompt Evolution for Password Guessing
par: Mazin, Vladimir A., et autres
Publié: (2026)

PagPassGPT: Pattern Guided Password Guessing via Generative Pretrained Transformer
par: Su, Xingyu, et autres
Publié: (2024)

Password Strength Analysis Through Social Network Data Exposure: A Combined Approach Relying on Data Reconstruction and Generative Models
par: Atzori, Maurizio, et autres
Publié: (2025)

Enhancing Password Security Through a High-Accuracy Scoring Framework Using Random Forests
par: Mazelan, Muhammed El Mustaqeem, et autres
Publié: (2025)

MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark
par: Corrias, William, et autres
Publié: (2025)

Zero-to-One IDV: A Conceptual Model for AI-Powered Identity Verification
par: Vaidya, Aniket, et autres
Publié: (2025)

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
par: Zhang, Kaiyuan, et autres
Publié: (2025)

The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks
par: Ayzenshteyn, Daniel, et autres
Publié: (2024)

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers
par: Afane, Khalifa, et autres
Publié: (2024)

Relevance as a Vulnerability: How Web Retrieval Degrades Safety Alignment in LLM Agents
par: Nawal, Aditya, et autres
Publié: (2026)

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly
par: Yao, Yifan, et autres
Publié: (2023)

EchoLeak: The First Real-World Zero-Click Prompt Injection Exploit in a Production LLM System
par: Reddy, Pavan, et autres
Publié: (2025)

When Intelligence Fails: An Empirical Study on Why LLMs Struggle with Password Cracking
par: Rehman, Mohammad Abdul, et autres
Publié: (2025)

PassTSL: Modeling Human-Created Passwords through Two-Stage Learning
par: Wang, Yangde, et autres
Publié: (2024)

LLM Access Shield: Domain-Specific LLM Framework for Privacy Policy Compliance
par: Wang, Yu, et autres
Publié: (2025)

Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models
par: Marinelli, Ryan, et autres
Publié: (2025)

Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation
par: Jin, David, et autres
Publié: (2025)

Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models
par: Peng, Wanli, et autres
Publié: (2025)

Password-Activated Shutdown Protocols for Misaligned Frontier Agents
par: Williams, Kai, et autres
Publié: (2025)

Living Off the LLM: How LLMs Will Change Adversary Tactics
par: Oesch, Sean, et autres
Publié: (2025)

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage
par: Sahay, Rishikesh, et autres
Publié: (2026)

Data-Driven Falsification of Cyber-Physical Systems
par: Kundu, Atanu, et autres
Publié: (2025)

AWE: Adaptive Agents for Dynamic Web Penetration Testing
par: Jaswal, Akshat Singh, et autres
Publié: (2026)

Smart Privacy Policy Assistant: An LLM-Powered System for Transparent and Actionable Privacy Notices
par: Kalvakuntla, Sriharshini, et autres
Publié: (2026)

RAGent: Retrieval-based Access Control Policy Generation
par: Jayasundara, Sakuna Harinda, et autres
Publié: (2024)

BadLLM-TG: A Backdoor Defender powered by LLM Trigger Generator
par: Zhang, Ruyi, et autres
Publié: (2026)

How to evaluate control measures for LLM agents? A trajectory from today to superintelligence
par: Korbak, Tomek, et autres
Publié: (2025)

Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs
par: Li, Yige, et autres
Publié: (2026)

Advancing LLM-Based Security Automation with Customized Group Relative Policy Optimization for Zero-Touch Networks
par: Cao, Xinye, et autres
Publié: (2025)

The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Creates Exploitable Vulnerabilities
par: Litvak, Ron
Publié: (2026)

SAGE: A Generic Framework for LLM Safety Evaluation
par: Jindal, Madhur, et autres
Publié: (2025)

LLM-based Vulnerable Code Augmentation: Generate or Refactor?
par: Ouchebara, Dyna Soumhane, et autres
Publié: (2025)

Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
par: Chen, Yuetian, et autres
Publié: (2026)

SoK: How Robust is Audio Watermarking in Generative AI models?
par: Wen, Yizhu, et autres
Publié: (2025)

SeedAIchemy: LLM-Driven Seed Corpus Generation for Fuzzing
par: Wen, Aidan, et autres
Publié: (2025)

Enforcing Cybersecurity Constraints for LLM-driven Robot Agents for Online Transactions
par: Shah, Shraddha Pradipbhai, et autres
Publié: (2025)

PassREfinder-FL: Privacy-Preserving Credential Stuffing Risk Prediction via Graph-Based Federated Learning for Representing Password Reuse between Websites
par: Kim, Jaehan, et autres
Publié: (2025)

VerilogLAVD: LLM-Aided Rule Generation for Vulnerability Detection in Verilog
par: Long, Xiang, et autres
Publié: (2025)

SmartLLM: Smart Contract Auditing using Custom Generative AI
par: Kevin, Jun, et autres
Publié: (2025)