171 Open source projects that are alternatives of or similar to advrank

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-…

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

Adversarial Distributional Training (NeurIPS 2020)

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

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

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

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

A curated list of awesome resources regarding machine learning reliability.

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Reimplementing cool papers in PyTorch...

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

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

Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018

[Obsolete] WebApp to follow friends doing CP on Codechef platform and to track their ratings and stars.

💀 Root-me Hall Of Fame dashboard 💀

Scaleable input gradient regularization

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

This is the project page of our paper which has been published in ECCV 2020.

⭐️ Web frameworks for Crystal, most starred on Github

🦕 Deno Third Party Modules Ranking 👑

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

Local Fisher Discriminant Analysis in R

Project page for Heated-up Softmax Embedding

Extended Search & Ranking tool for crates.

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

An implementation of the TrueSkill™ ranking system (by Microsoft) in Go

R package for Distance Metric Learning

Feature Scattering Adversarial Training

Deep Recommenders

PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020

A simple rankcard system with the ranking system included using an enmap database, and canvacord

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

Sux4J is an effort to bring succinct data structures to Java.

Ranking models for Ecto

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

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

A package for interleaving / multileaving ranking generation in go

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

scLearn：Learning for single cell assignment

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

[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?".

Code for NeurIPS 2019 Paper

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

Bukkit plugin for customizing the sidebar of the scoreboard feature from minecraft

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

Ranking of Steam games which favors "hidden gems". Featured in PC Gamer.

Finetuning any DNN for better embedding on neural search tasks

Adversarial Attacks on Deep Neural Networks for Time Series Classification

Papers and Codes about Deep Metric Learning/Deep Embedding

Attacking Vision based Perception in End-to-end Autonomous Driving Models

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

IResearch is a cross-platform, high-performance document oriented search engine library written entirely in C++ with the focus on a pluggability of different ranking/similarity models

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

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

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

A Closer Look at Accuracy vs. Robustness

Robust Out-of-distribution Detection in Neural Networks