Alternatives and similar repositories for lamp

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

• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆75Updated 3 years ago
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆59Updated 2 years ago
• safr-ai-lab / survey-llm
  A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code
  ☆67Updated last year
• yeachan-kr / c2a
  Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)
  ☆17Updated last year
• SMILELab-FL / FedPETuning
  ☆65Updated 2 years ago
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆39Updated last year
• eth-sri / llmprivacy
  ☆67Updated 7 months ago
• KaiyuanZh / CENSOR
  [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
  ☆14Updated 8 months ago
• SamuelGong / grad_attacks
  Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.
  ☆11Updated last year
• illidanlab / inversion-influence-function
  Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023
  ☆16Updated last year
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆80Updated last year
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆71Updated last year
• byerose / Awesome-Foundation-Model-Security
  A curated list of trustworthy Generative AI papers. Daily updating...
  ☆74Updated last year
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆58Updated 2 years ago
• yxoh / prompt_leak_usenix2024
  ☆13Updated last year
• QinbinLi / LLM-PBE
  A toolkit to assess data privacy in LLMs (under development)
  ☆62Updated 8 months ago
• OscarcarLi / label-protection
  Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).
  ☆22Updated 3 years ago
• yfchen1994 / poisoning_membership
  ☆20Updated last year
• wanglun1996 / secure-robust-federated-learning
  ☆54Updated 2 years ago
• inspire-group / RobustRAG
  ☆20Updated last year
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 3 years ago
• wagner-group / MarkMyWords
  ☆30Updated last year
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆23Updated 9 months ago
• inspire-group / DP-RandP
  [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes
  ☆12Updated 2 years ago
• meng-wenlong / LMSanitator
  ☆25Updated 2 years ago
• Lyz1213 / BadEdit
  ☆35Updated 11 months ago
• facebookresearch / calibration_membership
  Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".
  ☆15Updated 3 years ago
• llm-eff / FedPepTAO
  ☆31Updated 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
• reds-lab / Meta-Sift
  The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …
  ☆19Updated 2 years ago