[EMNLP'24] MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning

moDel Agnostic Language for Exploration and eXplanation

Togomori is a comprehensive solution for web applications reconnaissance designed to simplify the process of information gathering and data visualization.

An automatic obfuscation tool for Android apps that works in a black-box fashion, supports advanced obfuscation features and has a modular architecture easily extensible with new techniques

A Python module for parallel optimization of expensive black-box functions

Retrospective Extraction of Visual and Logical Insights for Ontology-based interpretation of Neural Networks

A reference implementation of non-functional black-box performance benchmarking ⚫ for ROS 2

code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"

Research on Material Science using Neural Networks black box approach

Simplicial Homology Global Optimization

AI Explanation methods based on coalitional game theory, to explain any machine learning prediction.

Bootplot is a package for black-box uncertainty visualization.

Black-box Few-shot Knowledge Distillation

Pytorch Implementation of SemiAdv.

[NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback

Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.