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albahnsen

albahnsen

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Tag: Phishing Detection

DeepPhish: Simulating malicious AI

June 3, 2018 albahnsen

Recently we presented a research paper on the malicious usage of AI by cyber attackers. Here the abstract, slides a link to the paper. Machine

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Classifying Phishing URLs Using Recurrent Neural Networks

April 26, 2017 albahnsen

In a recent research paper, we showed how we are able to detect with a high level of accuracy if a website is a phish

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Machine Learning Explained

March 29, 2017 albahnsen

Machine learning models are often dismissed on the grounds of lack of interpretability. There is a popular story about modern algorithms that goes as follows:

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Adversarial Learning Anomaly Detection cloud colaboratory Cost-Sensitive Data Science Decision Trees Deep Learning featured Fraud Detection Google Colab GPU Isolation Forests K-Means Kaggle LIME Logistic Regression Long Short Term Memory Networks Machine Learning Naive Bayes Phishing Detection Random Forests Reinforcement Learning Support Vector Machines Telsa K80

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