elliothe / Neural_Network_Weight_Attack
Changing several bit which overwhelms the quantized CNN
☆41Updated 5 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
- Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)☆31Updated 3 years ago
- In the repository we provide a sample code to implement the Targeted Bit Trojan attack.☆18Updated 4 years ago
- This is the official implementation of NNSplitter (ICML'23)☆12Updated 7 months ago
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Updated 2 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆90Updated 2 years ago
- Implementation of our proposed defense strategy against adversarial attacks "Defensive Approximation (DA)"☆8Updated 3 years ago
- ☆28Updated 4 months ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 3 years ago
- ☆24Updated 5 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆46Updated 6 years ago
- ☆30Updated 4 years ago
- Federated Dynamic Sparse Training☆29Updated 2 years ago
- ☆16Updated 3 years ago
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆13Updated 2 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆18Updated 3 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆52Updated 3 years ago
- Implementation network trimming using pytorch☆13Updated 4 years ago
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆31Updated 4 years ago
- ☆41Updated 3 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- pytorch-tiny-imagenet☆170Updated last year
- ☆49Updated 4 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆29Updated 3 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- ☆25Updated last year
- Code for the signSGD paper☆82Updated 4 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆34Updated last year
- Create tiny ML systems for on-device learning.☆20Updated 3 years ago