Alternatives and similar repositories for facescrub-dataset

Users that are interested in facescrub-dataset are comparing it to the libraries listed below

• VinAIResearch / input-aware-backdoor-attack-release
  Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
  ☆35Updated last year
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆51Updated 3 years ago
• Kooscii / BadNets
  ☆99Updated 4 years ago
• UMBCvision / Hidden-Trigger-Backdoor-Attacks
  Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
  ☆130Updated last year
• yuezunli / ISSBA
  Invisible Backdoor Attack with Sample-Specific Triggers
  ☆99Updated 3 years ago
• yziqi / adversarial-model-inversion
  Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)
  ☆47Updated 5 years ago
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆123Updated 3 years ago
• VinAIResearch / Warping-based_Backdoor_Attack-release
  WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)
  ☆129Updated 10 months ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆48Updated 6 years ago
• ssg-research / dawn-dynamic-adversarial-watermarking-of-neural-networks
  Watermarking against model extraction attacks in MLaaS. ACM MM 2021.
  ☆33Updated 4 years ago
• AI-secure / GMI-Attack
  ☆32Updated 4 years ago
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆28Updated 4 years ago
• SSGAalto / prada-protecting-against-dnn-model-stealing-attacks
  Reference implementation of the PRADA model stealing defense. IEEE Euro S&P 2019.
  ☆33Updated 6 years ago
• SCLBD / BlackboxBench
  ☆116Updated this week
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆159Updated last year
• garrisongys / STRIP
  This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"
  ☆60Updated 10 months ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆127Updated last year
• AndrewZhou924 / Awesome-model-inversion-attack
  [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
  ☆200Updated 3 months ago
• DreamtaleCore / Refool
  ☆50Updated last year
• AhmedSalem2 / ML-Leaks
  Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
  ☆84Updated 3 years ago
• AlanPeng0897 / Defend_MI
  [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"
  ☆24Updated 2 weeks ago
• DingfanChen / GAN-Leaks
  Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)
  ☆47Updated 3 years ago
• YiZeng623 / DeepSweep
  An evaluation framework for mitigating DNN backdoor attacks using data augmentations
  ☆11Updated 4 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆90Updated last year
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆32Updated 4 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆84Updated 2 years ago
• FlouriteJ / PoisonFrogs
  Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
  ☆17Updated 6 years ago
• 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 2 months ago
• trx14 / TrojanNet
  ☆86Updated last year
• GeorgePisl / backdoor-attacks-based-on-deep-learning
  Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper
  ☆20Updated 5 years ago