71 Open source projects that are alternatives of or similar to square-attack

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

Reachability analysis for closed-loop control systems

Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]

Adversarial Ranking Attack and Defense, ECCV, 2020.

Robust error-handling for Kotlin and Android

This is a collection of algorithms and approaches used in the book adversarial deep learning

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

Reimplementing cool papers in PyTorch...

Adversarial Distributional Training (NeurIPS 2020)

阿里云MNS

Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)

Python library for Bayesian hyper-parameters optimization

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

Code for the unrestricted adversarial examples paper (NeurIPS 2018)

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Generative Forests in Python

Natural Language Attacks in a Hard Label Black Box Setting.

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

KitanaQA: Adversarial training and data augmentation for neural question-answering models

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Attacking Optical Flow (ICCV 2019)

Paper list of Adversarial Examples

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

A Closer Look at Accuracy vs. Robustness

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

Feature Scattering Adversarial Training

Robust Out-of-distribution Detection in Neural Networks

Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Elo ratings for global black box derivative-free optimizers

RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)

Python tools for analyzing the robustness properties of neural networks (NNs) from MIT ACL

NIPS Adversarial Vision Challenge

Code used during my Chaos Engineering and Resiliency Patterns talk.

A curated (most recent) list of resources for Learning with Noisy Labels

Code for NeurIPS 2019 Paper