Alternatives and similar repositories for TrialAttack:

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

• MiracleHH / RecommPoison
  This is the code implementation for the paper "Data Poisoning Attacks to Deep Learning Based Recommender Systems"
  ☆16Updated 2 years ago
• ChangxinTian / RAPU
  [KDD'21] Official PyTorch implementation for "Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data".
  ☆12Updated 3 years ago
• gusye1234 / recad
  A unified framework for recommender system attacking
  ☆30Updated last year
• XMUDM / ShillingAttack
  This repository contains our implementations for Shilling Attacks against Recommender Systems.
  ☆21Updated 2 years ago
• Yueeeeeeee / RecSys-Extraction-Attack
  [RecSys 2021] PyTorch Implementation of Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction
  ☆38Updated 3 years ago
• yjw1029 / UA-FedRec
  The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.
  ☆19Updated 2 years ago
• fuying-wang / Data-poisoning-attacks-on-factorization-based-collaborative-filtering
  Data poisoning attack of recommend system using the algorithm of MF.
  ☆30Updated 7 years ago
• Coder-Yu / SDLib
  A Python library used to collect shilling detection methods and generate simulated attackers. (for academic use)
  ☆58Updated 2 years ago
• wuch15 / FedAttack
  Source code of FedAttack.
  ☆11Updated 3 years ago
• KDEGroup / ShillingAttackReadingList
  Paper Reading list for Shilling Attack and Defense on Recommender Systems
  ☆16Updated 2 months ago
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆16Updated 2 years ago
• rdz98 / FedRecAttack
  Model Poisoning Attack to Federated Recommendation
  ☆32Updated 3 years ago
• tamlhp / awesome-recsys-poisoning
  A Survey of Poisoning Attacks and Defenses in Recommender Systems
  ☆35Updated 6 months ago
• liuzrcc / AIP
  Adversarial Item Promotion in visually-aware recommenders
  ☆16Updated 3 years ago
• claws-lab / casper
  Code and data for the ACM CIKM 2022 paper "Rank List Sensitivity of Recommender Systems to Interaction Perturbations"
  ☆10Updated 2 years ago
• TempSDU / MetaMF
  ☆17Updated 3 years ago
• TangJiakai / FairRec.github.io
  ☆10Updated 2 years ago
• Zhangcx19 / IJCAI-23-PFedRec
  Code for ijcai-23 paper "Dual Personalization on Federated Recommendation"
  ☆25Updated 8 months ago
• EdisonLeeeee / RS-Adversarial-Learning
  A curated collection of adversarial attack and defense on recommender systems.
  ☆133Updated 2 years ago
• RUCAIBox / Awesome-Privacy-Preserving-RS-Paper
  This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.
  ☆29Updated 3 years ago
• newlei / FairGo
  Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
  ☆49Updated 4 years ago
• forchchch / BIAO_WWW23
  The repository of WWW23 paper: Cross-domain Recommendation with Behavioral Importance Perceptron
  ☆13Updated 2 years ago
• yjw1029 / Efficient-FedRec
  Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation
  ☆56Updated 11 months ago
• morganf33 / GNR
  code for "Generative News Recommendation"
  ☆12Updated 10 months ago
• tsinghua-fib-lab / Graph-Denoising-SocialRec
  The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)
  ☆24Updated last year
• TiliaceaeSU / PriCDR
  Code for WWW'22 paper "Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation"
  ☆8Updated 11 months ago
• yflyl613 / FedRec
  [AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings…
  ☆22Updated 2 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆47Updated 2 years ago
• HuilinChenJN / UPC_SDG
  SIGIR 2022: Privacy-Preserving Synthetic Data Generation for Recommendation Systems
  ☆9Updated 2 years ago
• Linxyhaha / DEALRec
  Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)
  ☆28Updated 2 months ago