188 Open source projects that are alternatives of or similar to DiagnoseRE

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

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".

[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?".

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

An Algorithm to Quantify Robustness of Recurrent Neural Networks

This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"

A Closer Look at Accuracy vs. Robustness

Code used during my Chaos Engineering and Resiliency Patterns talk.

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

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

Python scripts for studying bias in recommender systems

Computing various norms/measures on over-parametrized neural networks

generalize counter-examples of property-based testing

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

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-…

Reimplementing cool papers in PyTorch...

Code for NeurIPS 2019 Paper

NLP: Relation extraction with position-aware self-attention transformer

Max-Margin Markov Graph Models for WordNet (EMNLP 2018)

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

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Named Entity Recognition & Relation Extraction 实体命名识别与关系分类

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

Natural Language Attacks in a Hard Label Black Box Setting.

Code for 3D Reconstruction of Novel Object Shapes from Single Images paper

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

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

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Adversarial Attacks on Deep Neural Networks for Time Series Classification

A programmable relation extraction tool

Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.

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

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

This is a collection of papers and other resources related to fairness.

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

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

Relation Classification - SEMEVAL 2010 task 8 dataset

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

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

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

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

Source code and dataset of EMNLP2017 paper "Incorporating Relation Paths in Neural Relation Extraction".

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

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.

A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.

ML/DL/RL paper notes

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021

📊 Tools to Perform ‘Misinformation’ Analysis on a Text Corpus (wrapper for methods in https://github.com/PDXBek/Misinformation)

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

Reachability analysis for closed-loop control systems

Vancouver Event and Relation System for Extraction

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

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

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

Robust error-handling for Kotlin and Android

Paper notes for Information Extraction, including Relation Extraction (RE), Named Entity Recognition (NER), Entity Linking (EL), Event Extraction (EE), Named Entity Disambiguation (NED).