Evasive shellcode loader for bypassing event-based injection detection (PoC)
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Aug 23, 2021 - C++
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evasion-attacks
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A Python library for Secure and Explainable Machine Learning
python security machine-learning algorithms tensorflow python-library pytorch artificial-intelligence sparse-data neural-networks matplotlib interpretability adversarial-machine-learning cleverhans foolbox explainable-machine-learning secml attack-algorithms poisoning-attacks evasion-attacks
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Jun 23, 2025 - Jupyter Notebook
The repository is dedicated to Evasion Generative Adversarial Network source code.
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Jun 9, 2022 - Jupyter Notebook
[Talk] OFFZONE 2022 / ODS Data Halloween 2022: Black-box attacks on ML models + with use of open-source tools
conference talk model-extraction fast-track conference-talk model-inversion black-box-model adversarial-examples adversarial-attacks talk-slides black-box-attacks model-inversion-attacks attack-model model-attack talk-notes evasion-attack evasion-attacks talk-materials model-inversion-attack
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May 23, 2023 - Jupyter Notebook
Taller de Adversarial Machine Learning
adversarial-machine-learning adversarial-examples adversarial-attacks adversarial-robustness-toolbox poisoning-attacks evasion-attacks counterfit extraction-attacks inversion-attacks
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Nov 27, 2023 - Jupyter Notebook
Adversarial Malware Generator - A reinforcement learning framework for generating adversarial malware samples to evade GBDT-based and other malware classifiers.
security reinforcement-learning pytorch malware-analysis adversarial-machine-learning evasion-attacks
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Jan 4, 2026 - Python
SE4AI Project - Evasion Attacks on Self-Driving Cars to find vulnerabilities
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Jul 18, 2024 - Python
Mostly malicious or abusable powershell I've written
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Feb 9, 2026 - PowerShell
A learning-focused simulation of adversarial attacks against ML-based network intrusion detection systems within a Zero-Trust architecture, including constrained adversarial modeling, policy enforcement, and security-focused evaluation metrics.
machine-learning cybersecurity intrusion-detection final-year-project network-security network-intrusion-detection robustness zero-trust adversarial-machine-learning security-research evasion-attacks zero-trust-security ml-security zero-trust-architecture
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Feb 13, 2026 - Python
Evaluating adversarial machine learning attacks in network intrusion detection systems.
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May 22, 2024 - Python
Adversarial evasion attacks with constraint satisfaction guarantees.
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Feb 24, 2024 - Python
Testing adversarial ML attacks (data poisoning, targeted misclassification, and model extraction) and discussing defensive tradeoffs that exist for real deployments.
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Jan 25, 2026 - Jupyter Notebook
POC developed while writing the paper "A weakness in eBPF-based runtime security applications"
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Aug 19, 2022 - C
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