Alternatives and similar repositories for casper

Users that are interested in casper are comparing it to the libraries listed below

• chenchongthu / Recommendation-Unlearning
  ☆41Updated last year
• wujcan / GIF-torch
  ☆26Updated 3 years ago
• gusye1234 / recad
  A unified framework for recommender system attacking
  ☆32Updated last year
• Yueeeeeeee / RecSys-Extraction-Attack
  [RecSys 2021] PyTorch Implementation of Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction
  ☆39Updated 4 years ago
• tamlhp / awesome-recsys-poisoning
  A Survey of Poisoning Attacks and Defenses in Recommender Systems
  ☆38Updated last month
• fuying-wang / Data-poisoning-attacks-on-factorization-based-collaborative-filtering
  Data poisoning attack of recommend system using the algorithm of MF.
  ☆31Updated 7 years ago
• yushundong / EDITS
  Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
  ☆29Updated 3 years ago
• MiracleHH / RecommPoison
  This is the code implementation for the paper "Data Poisoning Attacks to Deep Learning Based Recommender Systems"
  ☆17Updated 3 years ago
• RinneSz / CLGA
  Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22
  ☆17Updated 3 years ago
• EnyanDai / FairGNN
  A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…
  ☆69Updated 2 years ago
• ChandlerBang / pytorch-gnn-meta-attack
  Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
  ☆21Updated 4 years ago
• EdisonLeeeee / Awesome-Fair-Graph-Learning
  Paper List for Fair Graph Learning (FairGL).
  ☆142Updated last year
• liuzrcc / AIP
  Adversarial Item Promotion in visually-aware recommenders
  ☆16Updated 4 years ago
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆49Updated 2 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆53Updated 3 months ago
• yushundong / Graph-Mining-Fairness-Data
  Open-source datasets for paper "Fairness in Graph Mining: A Survey".
  ☆18Updated 3 years ago
• yjw1029 / UA-FedRec
  The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.
  ☆19Updated 3 years ago
• ChangxinTian / RAPU
  [KDD'21] Official PyTorch implementation for "Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data".
  ☆12Updated 4 years ago
• LoadingByte / are-gnn-defenses-robust
  Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…
  ☆29Updated 3 years ago
• sejoonoh / ATR
  Code and data for the ACM CIKM 2024 paper "Adversarial Text Rewriting for Text-aware Recommender Systems"
  ☆11Updated last year
• WxxShirley / CIKM2023DiRec
  Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
  ☆17Updated 2 years ago
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆38Updated last year
• jma712 / GEAR
  ☆18Updated 3 years ago
• newlei / FairGo
  Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
  ☆50Updated 4 years ago
• saper0 / adversarial_training
  Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…
  ☆11Updated last year
• isail-laboratory / iDEA-iSAIL-Reading-Group
  ☆34Updated this week
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆17Updated 3 years ago
• thupchnsky / sgc_unlearn
  Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
  ☆20Updated 2 years ago
• Sungwon-Han / DualFair
  ☆14Updated 2 years ago
• SongYYYY / KDD22-OODGAT
  This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.
  ☆23Updated 3 years ago