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3d-adv-pc

Generating 3D Adversarial Point Clouds

adv-patch-paper-list

A paper list for localized adversarial patch research

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

ai-security-and-privacy-events

A curated list of workshops and tutorials on AI Security & Privacy

awesome-3d-point-cloud-attacks

List of state of the art papers, code, and other resources

awesome-causality-in-cv

A curated list of Causality in Computer Vision

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-dataset-distillation

Awesome Dataset Distillation Papers

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

awesome-phd-advice

Collection of advice for prospective and current PhD students

backdoor-learning-resources

A curated list of backdoor learning resources

black-box-tuning

Source code for paper "Black-Box Tuning for Language-Model-as-a-Service"

c-programming

cara_emnlp2020

Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)

causal_reading_group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

cs-baoyan

计算机保研交流群（QQ群号：605176069）

dart

Code for the ICLR2022 paper "Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners"

deephash-pytorch

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

dl-based-android-malware-defenses-review

Papers, code and datasets about deep learning for Android malware defenses and malware detection

freelb

Adversarial Training for Natural Language Understanding

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

knowledge-enhanced-machine-learning-pipeline

Repository for Knowledge Enhanced Machine Learning Pipeline (KEMLP)

l_inf-dist-net

This is the official github repo for training L_inf dist nets with high certified accuracy.

lmaas-papers

Awesome papers on Language-Model-as-a-Service (LMaaS)

machine_unlearning

Existing Literature about Machine Unlearning

moth

This is the implementation for IEEE S&P 2022 paper "Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security."

neural-tangents

Fast and Easy Infinite Neural Networks in Python

nlp-beginner

NLP上手教程

nlp_backdoor

Hidden backdoor attack on NLP systems

ntk4a

Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"