Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Fajar, Abdullah, Yazid, Setiadi, Budi, Indra |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Enhancing Phishing Detection through Feature Importance Analysis and Explainable AI: A Comparative Study of CatBoost, XGBoost, and EBM Models
par: Fajar, Abdullah, et autres
Publié: (2024)
par: Fajar, Abdullah, et autres
Publié: (2024)
Turning Black Box into White Box: Dataset Distillation Leaks
par: Chen, Huajie, et autres
Publié: (2026)
par: Chen, Huajie, et autres
Publié: (2026)
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security
par: Arreche, Osvaldo, et autres
Publié: (2025)
par: Arreche, Osvaldo, et autres
Publié: (2025)
Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
par: Domico, Kyle, et autres
Publié: (2025)
par: Domico, Kyle, et autres
Publié: (2025)
Prefill-level Jailbreak: A Black-Box Risk Analysis of Large Language Models
par: Li, Yakai, et autres
Publié: (2025)
par: Li, Yakai, et autres
Publié: (2025)
Investigating White-Box Attacks for On-Device Models
par: Zhou, Mingyi, et autres
Publié: (2024)
par: Zhou, Mingyi, et autres
Publié: (2024)
Narrow Secret Loyalty Dodges Black-Box Audits
par: Lamerton, Alfie, et autres
Publié: (2026)
par: Lamerton, Alfie, et autres
Publié: (2026)
Pandora's White-Box: Precise Training Data Detection and Extraction in Large Language Models
par: Wang, Jeffrey G., et autres
Publié: (2024)
par: Wang, Jeffrey G., et autres
Publié: (2024)
FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting
par: Fu, Zhiyuan, et autres
Publié: (2025)
par: Fu, Zhiyuan, et autres
Publié: (2025)
NoPhish: Efficient Chrome Extension for Phishing Detection Using Machine Learning Techniques
par: Thaqi, Leand, et autres
Publié: (2024)
par: Thaqi, Leand, et autres
Publié: (2024)
Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS
par: Ennaji, Sabrine, et autres
Publié: (2025)
par: Ennaji, Sabrine, et autres
Publié: (2025)
Extracting Recurring Vulnerabilities from Black-Box LLM-Generated Software
par: Kordonsky, Tomer, et autres
Publié: (2026)
par: Kordonsky, Tomer, et autres
Publié: (2026)
Phishing Website Detection through Multi-Model Analysis of HTML Content
par: Çolhak, Furkan, et autres
Publié: (2024)
par: Çolhak, Furkan, et autres
Publié: (2024)
Protecting Deep Neural Network Intellectual Property with Chaos-Based White-Box Watermarking
par: B, Sangeeth, et autres
Publié: (2025)
par: B, Sangeeth, et autres
Publié: (2025)
Transferable & Stealthy Ensemble Attacks: A Black-Box Jailbreaking Framework for Large Language Models
par: Yang, Yiqi, et autres
Publié: (2024)
par: Yang, Yiqi, et autres
Publié: (2024)
ArmSSL: Adversarial Robust Black-Box Watermarking for Self-Supervised Learning Pre-trained Encoders
par: Jiang, Yongqi, et autres
Publié: (2026)
par: Jiang, Yongqi, et autres
Publié: (2026)
SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning
par: Lv, Peizhuo, et autres
Publié: (2022)
par: Lv, Peizhuo, et autres
Publié: (2022)
E-PhishGen: Unlocking Novel Research in Phishing Email Detection
par: Pajola, Luca, et autres
Publié: (2025)
par: Pajola, Luca, et autres
Publié: (2025)
RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models
par: Lv, Peizhuo, et autres
Publié: (2025)
par: Lv, Peizhuo, et autres
Publié: (2025)
StruPhantom: Evolutionary Injection Attacks on Black-Box Tabular Agents Powered by Large Language Models
par: Feng, Yang, et autres
Publié: (2025)
par: Feng, Yang, et autres
Publié: (2025)
How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World
par: Panebianco, Francesco, et autres
Publié: (2025)
par: Panebianco, Francesco, et autres
Publié: (2025)
Inducing Overthink: Hierarchical Genetic Algorithm-based DoS Attack on Black-Box Large Language Reasoning Models
par: Wang, Shuqiang, et autres
Publié: (2026)
par: Wang, Shuqiang, et autres
Publié: (2026)
Black-Box Access is Insufficient for Rigorous AI Audits
par: Casper, Stephen, et autres
Publié: (2024)
par: Casper, Stephen, et autres
Publié: (2024)
PBI-Attack: Prior-Guided Bimodal Interactive Black-Box Jailbreak Attack for Toxicity Maximization
par: Cheng, Ruoxi, et autres
Publié: (2024)
par: Cheng, Ruoxi, et autres
Publié: (2024)
Behavior-Aware and Generalizable Defense Against Black-Box Adversarial Attacks for ML-Based IDS
par: Ennaji, Sabrine, et autres
Publié: (2025)
par: Ennaji, Sabrine, et autres
Publié: (2025)
E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems
par: Guan, Zelin, et autres
Publié: (2026)
par: Guan, Zelin, et autres
Publié: (2026)
Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
par: Yin, Jinhua, et autres
Publié: (2025)
par: Yin, Jinhua, et autres
Publié: (2025)
AdInject: Real-World Black-Box Attacks on Web Agents via Advertising Delivery
par: Wang, Haowei, et autres
Publié: (2025)
par: Wang, Haowei, et autres
Publié: (2025)
Universal Black-Box Reward Poisoning Attack against Offline Reinforcement Learning
par: Xu, Yinglun, et autres
Publié: (2024)
par: Xu, Yinglun, et autres
Publié: (2024)
TrailBlazer: History-Guided Reinforcement Learning for Black-Box LLM Jailbreaking
par: Yoon, Sung-Hoon, et autres
Publié: (2026)
par: Yoon, Sung-Hoon, et autres
Publié: (2026)
Multimodal Large Language Models for Phishing Webpage Detection and Identification
par: Lee, Jehyun, et autres
Publié: (2024)
par: Lee, Jehyun, et autres
Publié: (2024)
A White-Box Adversarial Attack Against a Digital Twin
par: Patterson, Wilson, et autres
Publié: (2022)
par: Patterson, Wilson, et autres
Publié: (2022)
Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection
par: Song, Tailai, et autres
Publié: (2026)
par: Song, Tailai, et autres
Publié: (2026)
MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection
par: Xue, Yinuo, et autres
Publié: (2025)
par: Xue, Yinuo, et autres
Publié: (2025)
AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
par: Wang, Zhun, et autres
Publié: (2025)
par: Wang, Zhun, et autres
Publié: (2025)
CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection
par: Nejati, Fatemeh, et autres
Publié: (2026)
par: Nejati, Fatemeh, et autres
Publié: (2026)
Phishing URL Detection using Bi-LSTM
par: Baskota, Sneha
Publié: (2025)
par: Baskota, Sneha
Publié: (2025)
Graph of Attacks: Improved Black-Box and Interpretable Jailbreaks for LLMs
par: Akbar-Tajari, Mohammad, et autres
Publié: (2025)
par: Akbar-Tajari, Mohammad, et autres
Publié: (2025)
Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning
par: Yan, Shenao, et autres
Publié: (2026)
par: Yan, Shenao, et autres
Publié: (2026)
AEGIS: White-Box Attack Path Generation using LLMs and Training Effectiveness Evaluation for Large-Scale Cyber Defence Exercises
par: Tung, Ivan K., et autres
Publié: (2026)
par: Tung, Ivan K., et autres
Publié: (2026)
Documents similaires
-
Enhancing Phishing Detection through Feature Importance Analysis and Explainable AI: A Comparative Study of CatBoost, XGBoost, and EBM Models
par: Fajar, Abdullah, et autres
Publié: (2024) -
Turning Black Box into White Box: Dataset Distillation Leaks
par: Chen, Huajie, et autres
Publié: (2026) -
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security
par: Arreche, Osvaldo, et autres
Publié: (2025) -
Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
par: Domico, Kyle, et autres
Publié: (2025) -
Prefill-level Jailbreak: A Black-Box Risk Analysis of Large Language Models
par: Li, Yakai, et autres
Publié: (2025)