Alternatives and similar repositories for FILM

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

• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 3 years ago
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆75Updated 3 years ago
• FengHZ / BAFFLE
  The official implement of paper "Does Federated Learning Really Need Backpropagation?"
  ☆23Updated 2 years ago
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆46Updated last year
• wyshi / lm_privacy
  ☆21Updated 4 years ago
• eth-sri / lamp
  LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)
  ☆26Updated 5 months ago
• microsoft / dp-few-shot-generation
  ☆28Updated last year
• google-research / public-data-in-dpfl
  ☆23Updated 2 years ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆176Updated 2 years ago
• xiangyue9607 / DP-Forward
  ☆23Updated last year
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆109Updated 2 years ago
• AI-secure / FLBenchmark-toolkit
  Federated Learning Framework Benchmark (UniFed)
  ☆49Updated 2 years ago
• illidanlab / inversion-influence-function
  Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023
  ☆16Updated 2 years ago
• mireshghallah / neighborhood-curvature-mia
  ☆22Updated 2 years ago
• QinbinLi / LLM-PBE
  A toolkit to assess data privacy in LLMs (under development)
  ☆62Updated 9 months ago
• llm-eff / FedPepTAO
  ☆31Updated last year
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆24Updated 2 years ago
• guobbin / PFL-MoE
  Federated Learning - PyTorch
  ☆14Updated 4 years ago
• yeachan-kr / c2a
  Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)
  ☆17Updated 2 years ago
• hongliny / FCO-ICML21
  Code repository is for "Federated Composite Optimization", to appear in ICML 2021
  ☆12Updated 3 years ago
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆40Updated last year
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆38Updated 3 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• Vaidehi99 / InfoDeletionAttacks
  ☆46Updated 8 months ago
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆23Updated 10 months ago
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• parameterlab / mia-scaling
  Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"
  ☆14Updated 8 months ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆81Updated last year
• fjxmlzn / private-evolution-papers
  The collection of papers about Private Evolution
  ☆17Updated 2 weeks ago
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆61Updated last year