A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition
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May 29, 2018 - Python
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targeted-attacks
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Official code for "Minimal Reconnection for Brain Resilience". Models brain network fragmentation (e.g., Alzheimer's) via hub attacks. Proposes ORT-THERAPY-F, a "Giant Component Absorption" heuristic that achieves 100% reconnection. Standard baselines (PA, CN) fail completely (0% repair), while our method is optimal and 36.5% more efficient.
computational-neuroscience graph-theory brain-computer-interface alzheimers-disease connectome targeted-attacks brain-networks network-resilience neurodegeneration therapeutic-intervention hub-vulnerability minimal-intervention network-fragmentation giant-component connectome-therapy
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Oct 24, 2025 - Jupyter Notebook
The purpose of this project is to scale the use of your software on the Cloud. Dynamically create a temporary infrastructure to accommodate your Shellcodes, Scans, Docker images collecting the results to a centralized DB. The platform distributes the command execution to the servers from a variety of regions, not raising flags about targeted att…
docker infrastructure cloud python3 nmap pentesting scans targeted-attacks shellcodes offensivesecurity
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Jan 28, 2021 - JavaScript
This project is research about physical network robustness to random and physical attacks.
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Jul 29, 2024 - Jupyter Notebook
US Airline Network Temporal Analysis
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Dec 21, 2022 - Jupyter Notebook
🧠 Enhance brain resilience using a strategic reconnection framework for damaged connectomes with Minimal Reconnection for Brain Resilience.
computational-neuroscience graph-theory brain-computer-interface alzheimers-disease connectome targeted-attacks brain-networks network-resilience neurodegeneration therapeutic-intervention hub-vulnerability minimal-intervention network-fragmentation giant-component connectome-therapy
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Nov 25, 2025 - Jupyter Notebook
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