Alternatives and similar repositories for Neural_Network_Weight_Attack

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

• elliothe / BFA
  Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)
  ☆33Updated 4 years ago
• adnansirajrakin / TBT-CVPR2020
  In the repository we provide a sample code to implement the Targeted Bit Trojan attack.
  ☆19Updated 4 years ago
• Tongzhou0101 / NNSplitter
  This is the official implementation of NNSplitter (ICML'23)
  ☆11Updated last year
• GATECH-EIC / Robust-Scratch-Ticket
  [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…
  ☆13Updated 3 years ago
• xinghu7788 / DeepSniffer
  ☆25Updated 5 years ago
• GATECH-EIC / Double-Win-Quant
  [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…
  ☆14Updated 3 years ago
• inspire-group / hydra
  Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…
  ☆92Updated 2 years ago
• yeshaokai / Robustness-Aware-Pruning-ADMM
  Code release for "Adversarial Robustness vs Model Compression, or Both?"
  ☆91Updated 4 years ago
• kimihe / Octo
  Create tiny ML systems for on-device learning.
  ☆20Updated 4 years ago
• ziqi-zhang / TEESlice-artifact
  ☆34Updated 4 months ago
• tjmoon0104 / pytorch-tiny-imagenet
  pytorch-tiny-imagenet
  ☆180Updated last year
• elliothe / CVPR_2019_PNI
  pytorch implementation of Parametric Noise Injection for adversarial defense
  ☆45Updated 5 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆47Updated 6 years ago
• zechenghe / Inverse_Collaborative_Inference
  ☆49Updated 4 years ago
• chenyaofo / pytorch-cifar-models
  Pretrained models on CIFAR10/100 in PyTorch
  ☆361Updated 3 months ago
• goten-team / Goten
  Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction
  ☆32Updated 4 years ago
• synxlin / deep-gradient-compression
  [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
  ☆223Updated last year
• zjysteven / DVERGE
  [NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
  ☆56Updated 3 years ago
• hku-systems / SOTER
  ☆27Updated last year
• JunyiZhu-AI / R-GAP
  R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]
  ☆37Updated 2 years ago
• IGITUGraz / SparseAdversarialTraining
  Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]
  ☆10Updated 3 years ago
• jiawangbai / TA-LBF
  The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
  ☆18Updated 4 years ago
• TenXxs / AI-Security-for-IoT-and-Mobile
  ☆50Updated 4 years ago
• columbia / pixeldp
  ☆66Updated 6 years ago
• jxbz / signSGD
  Code for the signSGD paper
  ☆90Updated 4 years ago
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆54Updated 6 years ago
• qianlou / SHE
  ☆31Updated 4 years ago
• yziqi / adversarial-model-inversion
  Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)
  ☆47Updated 5 years ago
• da2so / Data-Free_Network_Quantization_With_Adversarial_Knowledge_Distillation
  Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch
  ☆30Updated 3 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆35Updated 5 years ago