A simple Python script to Black Box PSCAD project by intelligent removal of components required for black boxing
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Updated
Sep 3, 2023 - Python
A simple Python script to Black Box PSCAD project by intelligent removal of components required for black boxing
Provides support for making predictions of binary outcomes based on natural language corpora. Formally, creates predictive models using Logistic Regression with Elastic Net Regularization on topic models derived from Latent Dirichlet Allocation.
Package for removing the black-box around decision trees
Annonymizing facial footprints - anonyME allows users to inoculate their personal images against unauthorized machine learning models, with minimal distortion of the input image, and no need for prior machine learning knowledge.
Genetic algorithm applied on an shredded image to put it back into its original form, using DEAP and blackbox library.
Based on the paper RED-Attack: Resource Efficient Decision-based Imperceptible Attack for Machine Learning https://arxiv.org/pdf/1901.10258.pdf
Homework of Security and Privacy of Machine Learning (SPML Lectured by Shang-Tse Chen at NTU)
Togomori is a comprehensive solution for web applications reconnaissance designed to simplify the process of information gathering and data visualization.
Interpreting blackbox text classifiers with LDA-based topic models
Produce a CSV file with AI-generated metadata for your photos using PhotoTag.ai.
Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations
Kubernetes monitoring automation using Prometheus, BlackBox, Elastalert.
A tool for Betaflight or Inav log files to tune PID
[ICML 2021] "Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation" by Jiawei Zhang*, Linyi Li*, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li
NeoTrellis pad for launching sequences or samples via USB MIDI on 1010 music Blackbox
The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020]
Backtrace-on-throw C++ exception logger
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