Research

Znacznik: reference

Elementów z tym znacznikiem: 172.

01 sty 2026
SAHF-PD: Semantic-Aware Hierarchical Fusion for Phishing Detection
01 sty 2025
Understanding the Efficacy of Phishing Training in Practice
01 sty 2025
GuardReasoner: Towards Reasoning-Based LLM Safeguards
01 sty 2025
Trademark Infringement Detection in E-Commerce With Multimodal Contrastive Learning
01 sty 2025
MalQwen: Fine-Tuned Qwen for Security Analysis
01 sty 2025
PhishDebate: Multi-Agent LLM Framework for Phishing Detection
01 sty 2025
Phishsense-1B: Fine-tuned Small LLM for Phishing Detection
01 sty 2024
BERT-Based Phishing Detection Enhanced with Low-Rank Adaptation
01 sty 2024
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
01 sty 2024
Experimental evaluation of possible feature combinations for the detection of fraudulent online shops
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01 sty 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
01 sty 2024
Hybrid optimization enabled squeeze net for phishing attack detection
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01 sty 2024
Content, Nudges and Incentives: A Study on the Effectiveness and Perception of Embedded Phishing Training
01 sty 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
01 sty 2024
Automatic phishing website detection and prevention
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01 sty 2024
Towards multi-class smishing detection: A novel feature vector approach and the smish ing-4c dataset
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01 sty 2024
Parameter-Efficient Fine-Tuning for Phishing Detection via Low-Rank Adaptation
01 sty 2024
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
01 sty 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
01 sty 2024
Deep Learning Approaches for Phishing Detection: A Comprehensive Analysis
01 sty 2024
PMP: Partitioning Message Passing for Graph Fraud Detection
01 sty 2024
OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud
01 sty 2023
Beyond phish: Toward detecting fraudulent e-commerce websites at scale
01 sty 2023
Phikita: Phishing kit attacks
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01 sty 2023
Classifying spam emails using agglomerative hierarchical clustering and atopic-based approach
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01 sty 2023
NIST Phish Scale User Guide
01 sty 2023
Scamdog millionaire: Detecting e-commerce scams in the wild
01 sty 2023
MagicScaler: Uncertainty-Aware, Predictive Autoscaling
01 sty 2023
PhiUSIIL Phishing URL Dataset
01 sty 2023
A system review on fraudulent website detection using machine learning technique
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01 sty 2023
Detecting Web Bots via Mouse Dynamics and Communication Metadata
01 sty 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
01 sty 2023
Enhanced e-commerce fraud pre diction based on a convolutional neural network model
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01 sty 2023
Multimodal fraudulent website identification method
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01 sty 2022
Phishing Activity Trends Report, Q3 2022
01 sty 2022
Business Email Compromise Phishing Detection Based on Machine Learning: A Systematic Literature Review
01 sty 2022
Phishing Detection Leveraging Machine Learning and Deep Learning: A Review
01 sty 2022
Analysis of third-party request structures to detect
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01 sty 2022
Phishing in Organizations: Findings from a Large-Scale and Long-Term Study
01 sty 2022
Fraud detection and prevention in e-commerce: A systematic literature review
01 sty 2022
Fraud detection and prevention in e-commerce: A systematic literature review
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01 sty 2022
Phishing websites detection using a novel multipurpose dataset and web technologies features
01 sty 2022
Phishing websites
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01 sty 2022
BWGNN: Rethinking Graph Neural Networks for Anomaly Detection
01 sty 2021
Spam Email Detection Using Deep Learning Techniques
01 sty 2021
Applying Machine Learning and Natural Language Processing to Detect Phishing Email
01 sty 2021
Security, Privacy, and Usability in Continuous Authentication: A Survey
01 sty 2021
Scaling the Phish: Advancing the NIST Phish Scale
01 sty 2021
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
01 sty 2021
Quorum
01 sty 2021
Tessera
01 sty 2021
Botcha: Detecting Malicious Non-Human Traffic in the Wild
01 sty 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
01 sty 2021
SoK: Still Plenty of Phish in the Sea — A Taxonomy of User-Oriented Phishing Interventions and Avenues for Future Research
01 sty 2021
Attacking hCaptcha: An Empirical Study
01 sty 2021
Fraudulent e-commerce website detection model using HTML, text and image features
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01 sty 2021
Does the dispersion of online review ratings affect review helpfulness? Computers in Human Behavior, 117, 106670
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01 sty 2021
Good Bot, Bad Bot: Characterizing Automated Browsing Activity
01 sty 2021
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
01 sty 2021
Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks
01 sty 2021
Character-Level Convolutional Neural Networks for URL-Based Phishing Detection
01 sty 2021
Online buyers and open
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01 sty 2021
Decoupling Representation Learning and Classification for GNN-based Anomaly Detection
01 sty 2021
How primary and supplementary reviews affect con sumer decision making? Roles of psychological and managerial mechanisms
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01 sty 2021
E-commerce products recognition based on a deep learning architecture: Theory
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01 sty 2021
Deformable DETR: Deformable Transformers for End-to-End Object Detection
01 sty 2020
Fine-Tuning Deep Neural Networks for Phishing Detection Using Low-Rank Adaptation
01 sty 2020
Real-Time detection of
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- reference
01 sty 2020
Logosense: A companion hog based logo detection scheme for
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01 sty 2020
End-to-End Object Detection with Transformers (DETR)
01 sty 2020
A Simple Framework for Contrastive Learning of Visual Representations
01 sty 2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
01 sty 2020
Applicability of Machine Learning in Spam and Phishing Email Filtering: Review and Approaches
01 sty 2020
Detecting Spam Email with Machine Learning Optimized with Bio-Inspired Metaheuristic Algorithms
01 sty 2020
Catching the Phish: Detecting Phishing Attacks Using Recurrent Neural Networks (RNNs)
01 sty 2020
Momentum Contrast for Unsupervised Visual Representation Learning
01 sty 2020
Examining the influence of emotional
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01 sty 2020
Hybrid CNN-LSTM Models for Phishing Website Detection
01 sty 2020
Catchphish: Detection of phishing websites by
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01 sty 2020
Categorizing Human Phishing Difficulty: A Phish Scale
01 sty 2020
Appropriate security protocols
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01 sty 2020
Making It (Even) Harder: On the Difficulty of Phishing Attacks in View of Security Indicators
01 sty 2020
Counterfighting counterfeit:
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01 sty 2020
Monitoring online reviews for reputation fraud campaigns
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01 sty 2019
Consumer-facing
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01 sty 2019
Certified Adversarial Robustness via Randomized Smoothing
01 sty 2019
Machine Learning for Email Spam Filtering: Review, Approaches and Open Research Problems
01 sty 2019
Deep Anomaly Detection on Attributed Networks
01 sty 2019
A keyword-based combination approach for
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01 sty 2019
Phishing Email Detection Using Improved RCNN Model With Multilevel Vectors and Attention Mechanism
01 sty 2019
A comprehensive evaluation of HTTP header
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01 sty 2019
A Social Economic Analysis of the Impact of GDPR on
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01 sty 2019
CrowdBC: A blockchain-based decentralized framework for crowdsourcing
01 sty 2019
A stacking model using URL and HTML
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01 sty 2019
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
01 sty 2019
PhishLedger: A decentralized phishing data sharing mechanism
01 sty 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
01 sty 2019
Combining visual and contextual information for
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01 sty 2019
Combining visual and contextual information for fraudulent online store classification
01 sty 2019
Machine learning based phishing detection
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01 sty 2019
Machine learning based phishing detection from URLs
01 sty 2019
Feature construction for fraudulent credit card cash-out detection
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01 sty 2019
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
01 sty 2019
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN
01 sty 2019
Robust Graph Convolutional Networks Against Adversarial Attacks
01 sty 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
01 sty 2018
The Impact of Application Context on Privacy and Performance of Keystroke Authentication Systems
01 sty 2018
NLP based phishing attack detection from URLs,
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01 sty 2018
Adversarial Attack on Graph Structured Data
01 sty 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
01 sty 2018
Observations on Typing from 136 Million Keystrokes
01 sty 2018
Extrinsic versus intrinsic rewards for
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01 sty 2018
HTTP security headers analysis of top one million websites,
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01 sty 2018
reCAPTCHA v3: A New Approach to Bot Detection
01 sty 2018
ZebraLancer: Crowdsource Knowledge atop Open Blockchain, Privately and Anonymously
01 sty 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
01 sty 2018
Content based fraudulent website
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01 sty 2018
Modeling Relational Data with Graph Convolutional Networks
01 sty 2018
Online E-commerce Fraud: A Largescale Detection and Analysis, pp
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01 sty 2018
Application of machine learning to identify
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01 sty 2018
Application of machine learning to identify counterfeit website
01 sty 2018
Yet Another Text CAPTCHA Solver: A Generative Adversarial Network Based Approach
01 sty 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-Regressive Models
01 sty 2018
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks
01 sty 2018
Adversarial Attacks on Neural Networks for Graph Data
01 sty 2017
Click Fraud Detection in Mobile Ads Served in Programmatic Inventory
01 sty 2017
Impact of Security Awareness Training on Phishing Click-Through Rates
01 sty 2017
Evaluating the Robustness of Neural Networks: An Extreme Value Theory-Based Approach (C&W Attack)
01 sty 2017
Learning to detect and measure fake ecommerce websites in search-engine results
01 sty 2017
Learning to detect and measure fake ecommerce websites in
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01 sty 2017
Inductive Representation Learning on Large Graphs
01 sty 2017
Inductive Representation Learning on Large Graphs
01 sty 2017
The social relation key: A new paradigm for security
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01 sty 2017
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
01 sty 2017
Factors that influence the consumer purchase intention in social media websites
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01 sty 2017
Semi-Supervised Classification with Graph Convolutional Networks
01 sty 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
01 sty 2017
How ‘social’ are destinations? Examining European DMO
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01 sty 2017
Attention Is All You Need
01 sty 2017
Bot Traffic Report 2016
01 sty 2016
Social Bots Distort the 2016 U.S. Presidential Election Online Discussion
01 sty 2016
Wide & Deep Learning for Recommender Systems
01 sty 2016
Deep Residual Learning for Image Recognition (ResNet)
01 sty 2016
A Survey on Truth Discovery
01 sty 2016
Fake it till you make it: Reputation, competition, and Yelp review
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01 sty 2016
When Recommendation Goes Wrong: Anomalous Link Discovery in Recommendation Networks
01 sty 2016
I Am Robot: (Deep) Learning to Break Semantic Image CAPTCHAs
01 sty 2015
Utilizing Linguistically Enhanced Keystroke Dynamics to Predict Typist Cognition and Demographics
01 sty 2015
Explaining and Harnessing Adversarial Examples
01 sty 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
01 sty 2015
The E-commerce market for "lemons": identification and analysis of websites selling counterfeit goods
01 sty 2015
The E-commerce market for "lemons": identification and
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01 sty 2014
Online experiences: Flow theory, measuring online customer experience in e-commerce and managerial implications for the lodging industry
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01 sty 2014
Going Spear Phishing: Exploring Embedded Training and Awareness
01 sty 2014
Explaining and Harnessing Adversarial Examples
01 sty 2014
Phishstorm: Detecting phishing with streaming analytics
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01 sty 2013
An efficient approach to detecting phishing web
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01 sty 2012
Random Forests for the Detection of Click Fraud in Online Mobile Advertising
01 sty 2012
Continuous Keystroke Dynamics: A Different Perspective Towards Biometric Evaluation
01 sty 2012
Detecting Causality in Complex Ecosystems
01 sty 2011
Exposing Click Fraud Using a Burst Detection Algorithm
01 sty 2010
Detecting fake websites:
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01 sty 2009
Order-Preserving Symmetric Encryption
01 sty 2009
A Correction to 'Efficient and Secure Comparison for On-line Auctions'
01 sty 2008
Homomorphic Encryption and Secure Comparison
01 sty 2007
Efficient and Secure Comparison for On-Line Auctions
01 sty 2007
Manipulation-resistant reputation systems
01 sty 2005
The Case for Anomalous Link Discovery
01 sty 2004
The Enron Corpus: A New Dataset for Email Classification Research
01 sty 1998
Text categorization with support vector machines: Learning with many relevant
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01 sty 1997
Long Short-Term Memory
01 sty 1992
A simple rule-based part of speech tagger
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