elliothe / Neural_Network_Weight_AttackLinks
Changing several bit which overwhelms the quantized CNN
☆45Updated 6 years ago
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
Sorting:
- Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)☆33Updated 4 years ago
- In the repository we provide a sample code to implement the Targeted Bit Trojan attack.☆20Updated 5 years ago
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Updated 3 years ago
- This is the official implementation of NNSplitter (ICML'23)☆12Updated last year
- ☆26Updated 5 years ago
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆16Updated 3 years ago
- Create tiny ML systems for on-device learning.☆20Updated 4 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆91Updated 3 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆90Updated 4 years ago
- ☆32Updated 4 years ago
- Pretrained models on CIFAR10/100 in PyTorch☆385Updated 7 months ago
- ☆45Updated 9 months ago
- ☆51Updated 4 years ago
- ☆49Updated 5 years ago
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆34Updated 5 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 7 years ago
- pytorch-tiny-imagenet☆188Updated 3 weeks ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 5 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Updated 4 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- [NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles☆55Updated 3 years ago
- Code for the signSGD paper☆92Updated 4 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆30Updated 4 years ago
- ☆29Updated 2 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- pytorch implementation of Parametric Noise Injection for adversarial defense☆45Updated 6 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆126Updated 3 years ago
- Privacy-preserving Federated Learning with Trusted Execution Environments☆74Updated 6 months ago