Alternatives and similar repositories for GMI-Attack

Users that are interested in GMI-Attack are comparing it to the libraries listed below

• SCccc21 / Knowledge-Enriched-DMI
  ☆45Updated 2 years ago
• TASI-LAB / Unlearning-inversion-attacks
  This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…
  ☆18Updated last year
• yziqi / adversarial-model-inversion
  Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)
  ☆48Updated 5 years ago
• UMBCvision / Hidden-Trigger-Backdoor-Attacks
  Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
  ☆130Updated 2 years ago
• AhmedSalem2 / ML-Leaks
  Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
  ☆85Updated 3 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆66Updated 4 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆59Updated 6 years ago
• ybdai7 / Chameleon-durable-backdoor
  [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…
  ☆42Updated last month
• jinyuan-jia / MemGuard
  ☆45Updated 5 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆30Updated 3 years ago
• VinAIResearch / Warping-based_Backdoor_Attack-release
  WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)
  ☆129Updated 11 months ago
• qzzqzzb / A3FL
  ☆27Updated 2 years ago
• AlanPeng0897 / Defend_MI
  [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"
  ☆24Updated last month
• ksreenivasan / OOD_Federated_Learning
  ☆70Updated 3 years ago
• VinAIResearch / input-aware-backdoor-attack-release
  Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
  ☆35Updated last year
• csong27 / membership-inference
  Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
  ☆200Updated 7 years ago
• yashkant / model-inversion-attack
  Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…
  ☆84Updated 2 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆127Updated last year
• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆61Updated 10 months ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆84Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆49Updated 3 years ago
• m-kahla / Label-Only-Model-Inversion-Attacks-via-Boundary-Repulsion
  ☆27Updated 3 years ago
• shrebox / Privacy-Attacks-in-Machine-Learning
  Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
  ☆64Updated last year
• Unispac / Subnet-Replacement-Attack
  Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.
  ☆26Updated 3 months ago
• jinghuichen / Focused-Flip-Federated-Backdoor-Attack
  Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
  ☆40Updated 2 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆51Updated 3 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆48Updated 6 years ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆73Updated last year
• LukasStruppek / Plug-and-Play-Attacks
  [ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be C…
  ☆45Updated 3 months ago
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆124Updated 3 years ago