Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications" held at the 15th ACM Conference on Recommender Systems in Amsterdam, Netherlands
☆18Jul 12, 2023Updated 2 years ago
Alternatives and similar repositories for recsys2021-pursuing-privacy
Users that are interested in recsys2021-pursuing-privacy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆19Apr 27, 2022Updated 3 years ago
- Workshop: Azure Machine Learning Automated ML UI - Predict Wine Quality☆10Dec 13, 2019Updated 6 years ago
- A Python Library for Standardized and Reproducible Data Management in Recommender Systems☆20Feb 12, 2026Updated 2 months ago
- Papers related to federated learning for recommender system☆32Apr 25, 2021Updated 4 years ago
- Complexly represent contents, build recommender systems, evaluate them. All in one place!☆37Feb 23, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Model Poisoning Attack to Federated Recommendation☆32Apr 23, 2022Updated 3 years ago
- Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).☆11Apr 13, 2021Updated 5 years ago
- Resources for private and secure Machine Learning and Artificial Intelligence☆13Jun 13, 2022Updated 3 years ago
- This repository contains our implementations for Shilling Attacks against Recommender Systems.☆23Jun 25, 2022Updated 3 years ago
- ☆13Dec 3, 2021Updated 4 years ago
- Welcome to our official website☆16Mar 24, 2024Updated 2 years ago
- Notes on the Mistral AI model☆20Dec 27, 2023Updated 2 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Jan 30, 2023Updated 3 years ago
- ☆42Nov 24, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- (2025 AAAI) CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework☆14Jul 31, 2025Updated 8 months ago
- FIWARE 202: Provisioning the Ultralight IoT Agent☆14Jan 27, 2026Updated 2 months ago
- Cool extensions built for the nbdev framework☆14Jun 6, 2023Updated 2 years ago
- A unified framework for recommender system attacking☆34Mar 29, 2024Updated 2 years ago
- ☆15Aug 22, 2022Updated 3 years ago
- Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommende…☆25Apr 12, 2021Updated 5 years ago
- ☆10Jan 18, 2022Updated 4 years ago
- ☆10Dec 30, 2021Updated 4 years ago
- Personal configuration☆13Feb 27, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Bayesian Personalized Ranking using PyTorch☆140Mar 23, 2025Updated last year
- Offical Code for "PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation."☆12Oct 12, 2022Updated 3 years ago
- Scraping data of Football players using Python and use that for making a little React website☆13Dec 17, 2021Updated 4 years ago
- Theano implementation of T1-T2 gradient-based method for tuning continuous hyperparameters.☆10Jun 20, 2016Updated 9 years ago
- Exposure Matrix Factorization: modeling user exposure in recommendation☆96Apr 6, 2016Updated 10 years ago
- Source code for paper "Generative Flow Network for Listwise Recommendation"☆17Nov 8, 2024Updated last year
- ☆13Dec 12, 2024Updated last year
- C/C++ Algorithms Implementation for Code In☆14Nov 15, 2015Updated 10 years ago
- Plug in & Play Pytorch Implementation of the paper: "Evolutionary Optimization of Model Merging Recipes" by Sakana AI☆31Nov 11, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆21Jun 12, 2020Updated 5 years ago
- Learning Machine Learning and showcasing my work for 100 Days.☆15Oct 17, 2018Updated 7 years ago
- 推荐系统BPRMF模型的Pytorch实现，基于MovieLens数据集☆11May 16, 2021Updated 4 years ago
- Official implementation of the papers "User-controlled federated matrix factorization for recommender systems" and "FedeRank: User Contro…☆18Jul 28, 2020Updated 5 years ago
- Record and Reward Users for the data they own with federated learning and hyperledger composer☆23May 15, 2019Updated 6 years ago
- Interact with GPT-3 through speech☆12Dec 12, 2022Updated 3 years ago
- ☆17Mar 26, 2022Updated 4 years ago