Alternatives and similar repositories for BackFed

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

• sail-research / iba
  IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)
  ☆40Updated 5 months ago
• HongshengHu / membership-inference-machine-learning-literature
  ☆370Updated last month
• mtuann / fedlearn-backdoor-attacks
  Fast integration of backdoor attacks in federated learning with updated attacks and defenses.
  ☆59Updated 3 weeks ago
• ybdai7 / Chameleon-durable-backdoor
  [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…
  ☆43Updated 5 months ago
• vio1etus / FLPoison
  FLPoison: Benchmarking Poisoning Attacks and Defenses in Federated Learning
  ☆52Updated 4 months ago
• abbottyanginchina / Awesome-Federated-Unlearning
  Awesome Federated Unlearning (FU) Papers (Continually Update)
  ☆108Updated last year
• haoyangliASTAPLE / 3DFed
  ☆54Updated 2 years ago
• zhmzm / FLAME
  ☆37Updated 2 years ago
• SCLBD / BackdoorBench
  ☆580Updated 7 months ago
• MiracleHH / CBA
  Composite Backdoor Attacks Against Large Language Models
  ☆22Updated last year
• mtuann / backdoor-ai-resources
  Backdoor Stuff in AI/ ML domain
  ☆33Updated 2 weeks ago
• zihao-ai / Awesome-Backdoor-in-Deep-Learning
  A curated list of papers & resources on backdoor attacks and defenses in deep learning.
  ☆235Updated last year
• shaoshuo-ss / FedTracker
  [TDSC 2024] Official code for our paper "FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model"
  ☆22Updated 8 months ago
• sail-research / fed-unlearn
  An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)
  ☆18Updated 2 years ago
• penghui-yang / awesome-data-poisoning-and-backdoor-attacks
  A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)
  ☆286Updated last year
• lishenghui / awesome-fm-fl
  ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning
  ☆151Updated 2 weeks ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆72Updated last year
• AndrewZhou924 / Awesome-model-inversion-attack
  [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
  ☆215Updated 8 months ago
• insait-institute / dager-gradient-inversion
  Code for the NeurIPS 2024 submission: "DAGER: Extracting Text from Gradients with Language Model Priors"
  ☆20Updated 5 months ago
• qzzqzzb / A3FL
  ☆31Updated 2 years ago
• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆60Updated last year
• zhmzm / Poisoning_Backdoor-critical_Layers_Attack
  [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"
  ☆52Updated last year
• chrisliu298 / awesome-llm-unlearning
  A resource repository for machine unlearning in large language models
  ☆534Updated last month
• wanghangpsu / MM-BD
  The implementation of the IEEE S&P 2024 paper MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Us…
  ☆16Updated last year
• git-disl / DataPoisoning_FL
  Code for Data Poisoning Attacks Against Federated Learning Systems
  ☆206Updated 4 years ago
• zhangrui4041 / Instruction_Backdoor_Attack
  ☆26Updated last year
• FuChong-cyber / label-inference-attacks
  Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
  ☆86Updated 2 years ago
• IBM / federated-unlearning
  Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)
  ☆45Updated 4 months ago
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆83Updated 2 years ago
• gnipping / Awesome-ML-SP-Papers
  A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security…
  ☆332Updated 2 months ago