Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
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Updated
Jul 2, 2020 - Python
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
Nevergrad Optimizer Benchmarking for 3D Performance Capture
SCOBO: Sparsity-aware Comparison Oracle Based Optimization
Code for IEEE MLSP 2021 paper titled "Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration"
Robustify Black-Box Models (ICLR'22 - Spotlight)
This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)
[NeurIPS 2023] “SODA: Robust Training of Test-Time Data Adaptors”
Elo ratings for global black box derivative-free optimizers
[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
Official implementation for the paper "CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design" accepted by L4DC 2024. CoVO-MPC is an optimal sampling-based MPC algorithm.
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
[ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
Benchmarking optimization solvers.
0th order optimizers, gradient chaining, random gradient approximation
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]
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