Alternatives and similar repositories for grad_attacks

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

• ziyaow1010 / FederatedLLM
  ☆107Updated last year
• conditionWang / Data_Centric_AI_IP_Protection
  This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…
  ☆23Updated 2 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆72Updated last year
• SMILELab-FL / FedPETuning
  ☆65Updated 2 years ago
• reds-lab / CLIP-MIA
  This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…
  ☆24Updated 2 years ago
• ybwang119 / label_recovery
  [ICLR 2024] Towards Elminating Hard Label Constraints in Gradient Inverision Attacks
  ☆14Updated last year
• yxoh / prompt_leak_usenix2024
  ☆14Updated last year
• zhmzm / Poisoning_Backdoor-critical_Layers_Attack
  [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"
  ☆51Updated last year
• T0hsakar1n / RAPID
  Source code and scripts for the paper "Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks"
  ☆20Updated last year
• illidanlab / inversion-influence-function
  Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023
  ☆16Updated 2 years ago
• CryptoAILab / misalignment
  [NDSS'25] The official implementation of safety misalignment.
  ☆17Updated last year
• phycholosogy / RAG-privacy
  The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk o…
  ☆64Updated last year
• rui-ye / FedLLM-Bench
  ☆116Updated last year
• SamuelGong / Lotto
  [USENIX Security'24] Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
  ☆21Updated 9 months ago
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆39Updated 2 years ago
• HarliWu / FedBiOT
  An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…
  ☆60Updated 10 months ago
• ZFancy / SFAT
  [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
  ☆31Updated last month
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆62Updated 3 years ago
• SCLBD / DBD
  ☆32Updated 3 years ago
• Carol-gutianle / Awesome-llm-unlearning
  ☆13Updated last year
• yeachan-kr / c2a
  Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)
  ☆17Updated 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
• wanglun1996 / secure-robust-federated-learning
  ☆55Updated 2 years ago
• jinhaoduan / SecMI
  [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?
  ☆42Updated last year
• xiangyue9607 / DP-Forward
  ☆25Updated last year
• zhxchd / SDAR_SplitNN
  Code for NDSS '25 paper "Passive Inference Attacks on Split Learning via Adversarial Regularization"
  ☆13Updated last year
• LiangSiyuan21 / BadCLIP
  ☆30Updated last year
• JunfengGo / SCALE-UP
  ☆28Updated last year
• eth-sri / lamp
  LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)
  ☆29Updated 8 months ago
• wanlunsec / Beatrix
  ☆27Updated 3 years ago