Dig Vulnerabilities in the BlackBox
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Updated
May 14, 2024 - Python
Dig Vulnerabilities in the BlackBox
LAMA - automatic model creation framework
PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18
LLM Optimize is a proof-of-concept library for doing LLM (large language model) guided blackbox optimization.
A collection of black-box optimizers with a focus on evolutionary algorithms
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
Backtrace-on-throw C++ exception logger
The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020]
[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
A tool for Betaflight or Inav log files to tune PID
Kubernetes monitoring automation using Prometheus, BlackBox, Elastalert.
Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations
Based on the paper RED-Attack: Resource Efficient Decision-based Imperceptible Attack for Machine Learning https://arxiv.org/pdf/1901.10258.pdf
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