Cover Image

Adversarial Machine Learning for Robust Password Strength Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jha, Pappu, Hamid, Hanzla, Olukola, Oluseyi, Dahal, Ashim, Rahimi, Nick
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AMDS: Attack-Aware Multi-Stage Defense System for Network Intrusion Detection with Two-Stage Adaptive Weight Learning
by: Olukola, Oluseyi, et al.
Published: (2026)

Analysis of Zero Day Attack Detection Using MLP and XAI
by: Dahal, Ashim, et al.
Published: (2025)

Password Strength Detection via Machine Learning: Analysis, Modeling, and Evaluation
by: Mo, Jiazhi, et al.
Published: (2025)

Pedagogical Safety in Educational Reinforcement Learning: Formalizing and Detecting Reward Hacking in AI Tutoring Systems
by: Olukola, Oluseyi, et al.
Published: (2026)

Expectation Entropy as a Password Strength Metric
by: Reaz, Khan, et al.
Published: (2024)

On the Account Security Risks Posed by Password Strength Meters
by: Xu, Ming, et al.
Published: (2025)

MC-CPO: Mastery-Conditioned Constrained Policy Optimization
by: Olukola, Oluseyi, et al.
Published: (2026)

Machine Learning-Based AES Key Recovery via Side-Channel Analysis on the ASCAD Dataset
by: Poudel, Mukesh, et al.
Published: (2025)

Adversarial Machine Learning: Attacks, Defenses, and Open Challenges
by: Jha, Pranav K
Published: (2025)

MoPE: A Mixture of Password Experts for Improving Password Guessing
by: Duan, Mingjian, et al.
Published: (2025)

Passwords Are Meant to Be Secret: A Practical Secure Password Entry Channel for Web Browsers
by: Gautam, Anuj, et al.
Published: (2024)

Detecting Malicious Entra OAuth Apps with LLM-Based Permission Risk Scoring
by: Mahara, Ashim
Published: (2025)

Optimizing Password Cracking for Digital Investigations
by: Hachem, Mohamad, et al.
Published: (2025)

The Impact of Exposed Passwords on Honeyword Efficacy
by: Huang, Zonghao, et al.
Published: (2023)

When AI Defeats Password Deception! A Deep Learning Framework to Distinguish Passwords and Honeywords
by: Dani, Jimmy, et al.
Published: (2024)

A Secure Remote Password Protocol From The Learning With Errors Problem
by: Li, Huapeng, et al.
Published: (2025)

Certified-Everlasting Quantum NIZK Proofs
by: Pappu, Nikhil
Published: (2025)

System Password Security: Attack and Defense Mechanisms
by: Shi, Chaofang, et al.
Published: (2025)

Lost in Disclosure: On The Inference of Password Composition Policies
by: Johnson, Saul, et al.
Published: (2020)

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness
by: Nowmi, Saeefa Rubaiyet, et al.
Published: (2025)

The (Un)suitability of Passwords and Password Managers in Virtual Reality
by: Kablo, Emiram, et al.
Published: (2025)

How Blind and Low-Vision Users Manage Their Passwords
by: Ponticello, Alexander, et al.
Published: (2025)

Exploiting Leakage in Password Managers via Injection Attacks
by: Fábrega, Andrés, et al.
Published: (2024)

KAPG: Adaptive Password Guessing via Knowledge-Augmented Generation
by: Yang, Xudong, et al.
Published: (2025)

Conditional Encryption with Applications to Secure Personalized Password Typo Correction
by: Ameri, Mohammad Hassan, et al.
Published: (2024)

Search-based Ordered Password Generation of Autoregressive Neural Networks
by: Jin, Min, et al.
Published: (2024)

PassViz: A Visualisation System for Analysing Leaked Passwords
by: Parker, Sam, et al.
Published: (2023)

Cybersecurity Data Extraction from Common Crawl
by: Mahara, Ashim
Published: (2025)

PKE and ABE with Collusion-Resistant Secure Key Leasing
by: Kitagawa, Fuyuki, et al.
Published: (2025)

Improving Users' Passwords with DPAR: a Data-driven Password Recommendation System
by: Morag, Assaf, et al.
Published: (2024)

Understanding Malware Propagation Dynamics through Scientific Machine Learning
by: Pappu, Karthik, et al.
Published: (2025)

Skeptic: Automatic, Justified and Privacy-Preserving Password Composition Policy Selection
by: Johnson, Saul, et al.
Published: (2020)

Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data
by: Pasquini, Dario, et al.
Published: (2023)

Password Strength Analysis Through Social Network Data Exposure: A Combined Approach Relying on Data Reconstruction and Generative Models
by: Atzori, Maurizio, et al.
Published: (2025)

Multilingual AI-Driven Password Strength Estimation with Similarity-Based Detection
by: Palaniappan, Nikitha M., et al.
Published: (2026)

When Intelligence Fails: An Empirical Study on Why LLMs Struggle with Password Cracking
by: Rehman, Mohammad Abdul, et al.
Published: (2025)

Poison Attacks and Adversarial Prompts Against an Informed University Virtual Assistant
by: Fernandez, Ivan A., et al.
Published: (2024)

How Good LLM-Generated Password Policies Are?
by: Vaidya, Vivek, et al.
Published: (2025)

LLM-Guided Prompt Evolution for Password Guessing
by: Mazin, Vladimir A., et al.
Published: (2026)

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
by: Angioni, Daniele, et al.
Published: (2024)