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 2 years ago
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆72Updated 2 years ago
• eth-sri / lamp
  LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)
  ☆23Updated 2 years ago
• google-research / public-data-in-dpfl
  ☆22Updated 2 years ago
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆39Updated 10 months ago
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆48Updated 11 months ago
• microsoft / dp-few-shot-generation
  ☆25Updated last year
• FengHZ / BAFFLE
  The official implement of paper "Does Federated Learning Really Need Backpropagation?"
  ☆23Updated 2 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆106Updated 2 years ago
• AI-secure / DataLens
  [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…
  ☆37Updated 3 years ago
• llm-eff / FedPepTAO
  ☆32Updated last year
• wyshi / lm_privacy
  ☆18Updated 3 years ago
• Vaidehi99 / InfoDeletionAttacks
  ☆42Updated last month
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆20Updated 3 months ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 3 years ago
• AI-secure / FLBenchmark-toolkit
  Federated Learning Framework Benchmark (UniFed)
  ☆49Updated last year
• shuaizhao95 / Prompt_attack
  Updated 10 months ago
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆29Updated 2 years ago
• yfchen1994 / poisoning_membership
  ☆18Updated 11 months ago
• xiangyue9607 / DP-Forward
  ☆21Updated 11 months ago
• AI-secure / aug-pe
  [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text
  ☆34Updated 2 months ago
• SMILELab-FL / FedPETuning
  ☆62Updated last year
• THU-BPM / Robust_Watermark
  Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.
  ☆27Updated 4 months ago
• lancopku / Embedding-Poisoning
  Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-…
  ☆40Updated 3 years ago
• wagner-group / MarkMyWords
  ☆27Updated 9 months ago
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆36Updated 8 months ago
• ksreenivasan / OOD_Federated_Learning
  ☆69Updated 2 years ago
• facebookresearch / FL_partial_personalization
  Federated Learning with Partial Model Personalization
  ☆42Updated 2 years ago
• yeachan-kr / c2a
  Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)
  ☆16Updated last year