Benjamin M. Ampel
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  • Publications
    • Examining the Robustness of Machine Learning-based Phishing Website Detection: Action-Masked Reinforcement Learning for Automated Red Teaming
    • Large Language Models for Conducting Advanced Text Analytics Information Systems Research
    • Creating Proactive Cyber Threat Intelligence with Hacker Exploit Labels: A Deep Transfer Learning Approach
    • Evading Anti-Phishing Models: A Field Note Documenting an Experience in the Machine Learning Security Evasion Competition 2022
    • Improving Threat Mitigation Through a Cybersecurity Risk Management Framework: A Computational Design Science Approach
    • The 4th Workshop on Artificial Intelligence-enabled Cybersecurity Analytics
    • Benchmarking the Robustness of Phishing Email Detection Systems
    • Disrupting Ransomware Actors on the Bitcoin Blockchain: A Graph Embedding Approach
    • Mapping Exploit Code on Paste Sites to the MITRE ATT&CK Framework: A Multi-label Transformer Approach
    • The Effect of Consensus Algorithm on Ethereum Price and Volume
    • Why Following Friends Can Hurt You: A Replication Study
    • Distilling Contextual Embeddings into a Static Word Embedding for Improving Hacker Forum Analytics
    • Exploring the Evolution of Exploit-sharing Hackers: An Unsupervised Graph Embedding Approach
    • Identifying and Categorizing Malicious Content on Paste Sites: A Neural Topic Modeling Approach
    • Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework: A Self-Distillation Approach
    • The Role of AI Agents for De-Escalating Commitment in Digital Innovation Projects
    • Identifying Vulnerable GitHub Repositories and Users in Scientific Cyberinfrastructure: An Unsupervised Graph Embedding Approach
    • Labeling Hacker Exploits for Proactive Cyber Threat Intelligence: A Deep Transfer Learning Approach
    • Smart Vulnerability Assessment for Scientific Cyberinfrastructure: An Unsupervised Graph Embedding Approach
    • Performance Modeling of Hyperledger Sawtooth Blockchain
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Pandas

Oct 26, 2023 · 1 min read
Go to Project Site

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on Jun 26, 2025
Hugo Wowchemy Markdown
Benjamin M. Ampel
Authors
Benjamin M. Ampel
Assistant Professor of Computer Information Systems
PyTorch Oct 26, 2023 →

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