yangzhangalmo / walk2friendsLinks
walk2friends: Inferring Social Links from Mobility Profiles
☆22Updated 7 years ago
Alternatives and similar repositories for walk2friends
Users that are interested in walk2friends are comparing it to the libraries listed below
Sorting:
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆21Updated 5 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 3 months ago
- Data poisoning attack of recommend system using the algorithm of MF.☆30Updated 7 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆220Updated 3 years ago
- A curated collection of adversarial attack and defense on recommender systems.☆136Updated 3 years ago
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23Updated 2 years ago
- ☆14Updated 4 years ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆82Updated 3 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆40Updated 4 years ago
- ☆58Updated 3 years ago
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆182Updated last year
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Updated 4 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Updated 3 years ago
- Adversarial training for Graph Neural Networks☆61Updated 4 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆152Updated 3 years ago
- [RecSys 2021] PyTorch Implementation of Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction☆39Updated 4 years ago
- ☆10Updated 4 years ago
- This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.☆31Updated 3 years ago
- ☆24Updated 6 years ago
- Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track☆22Updated last year
- ☆32Updated 3 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆21Updated 3 years ago
- [AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings…☆24Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆44Updated 2 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Updated 2 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆53Updated 3 months ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Updated 3 years ago
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆16Updated 3 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆388Updated last year
- Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22☆17Updated 3 years ago