Alternatives and similar repositories for ModelGuard

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

• VinAIResearch / Warping-based_Backdoor_Attack-release
  WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)
  ☆133Updated last year
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆33Updated 5 years ago
• vtu81 / backdoor-toolbox
  A compact toolbox for backdoor attacks and defenses.
  ☆191Updated last year
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆83Updated 2 years ago
• UMBCvision / Hidden-Trigger-Backdoor-Attacks
  Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
  ☆133Updated 2 years ago
• SCccc21 / Knowledge-Enriched-DMI
  ☆45Updated 2 years ago
• dnn-security / Watermark-Robustness-Toolbox
  The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".
  ☆117Updated 2 years ago
• zlh-thu / StealingVerification
  Defending against Model Stealing via Verifying Embedded External Features
  ☆38Updated 3 years ago
• VinAIResearch / input-aware-backdoor-attack-release
  Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
  ☆37Updated last year
• yuezunli / ISSBA
  Invisible Backdoor Attack with Sample-Specific Triggers
  ☆105Updated 3 years ago
• AI-secure / GMI-Attack
  ☆32Updated 4 years ago
• sbaresearch / model-watermarking
  Website & Documentation: https://sbaresearch.github.io/model-watermarking/
  ☆25Updated 2 years ago
• Unispac / Subnet-Replacement-Attack
  Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.
  ☆26Updated 7 months ago
• tianshuocong / SSLGuard
  [CCS'22] SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
  ☆18Updated 3 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
• m-kahla / Label-Only-Model-Inversion-Attacks-via-Boundary-Repulsion
  ☆27Updated 3 years ago
• JonasGeiping / data-poisoning
  Implementations of data poisoning attacks against neural networks and related defenses.
  ☆102Updated last year
• AhmedSalem2 / ML-Leaks
  Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
  ☆85Updated 4 years ago
• THUYimingLi / Open-sourced_Dataset_Protection
  This is the implementation of our paper 'Open-sourced Dataset Protection via Backdoor Watermarking', accepted by the NeurIPS Workshop on …
  ☆23Updated 4 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆67Updated 4 years ago
• ffhibnese / Model-Inversion-Attack-ToolBox
  A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.
  ☆190Updated 4 months ago
• wanghangpsu / MM-BD
  The implementation of the IEEE S&P 2024 paper MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Us…
  ☆16Updated last year
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆28Updated 4 years ago
• Unispac / Circumventing-Backdoor-Defenses
  Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)
  ☆47Updated 2 years ago
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆31Updated 4 years ago
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆83Updated 2 years ago
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆128Updated 4 years ago
• TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-Rate
  The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
  ☆35Updated 3 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆47Updated 7 years ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆75Updated last year