elliothe / Neural_Network_Weight_AttackLinks
Changing several bit which overwhelms the quantized CNN
☆43Updated 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
Sorting:
- Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)☆32Updated 3 years ago
- This is the official implementation of NNSplitter (ICML'23)☆11Updated 11 months ago
- In the repository we provide a sample code to implement the Targeted Bit Trojan attack.☆19Updated 4 years ago
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Updated 3 years ago
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆13Updated 3 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆92Updated 2 years ago
- ☆32Updated 2 months ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 3 years ago
- ☆25Updated 5 years ago
- Create tiny ML systems for on-device learning.☆20Updated 3 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆72Updated last year
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆29Updated 3 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 6 years ago
- pytorch implementation of Parametric Noise Injection for adversarial defense☆43Updated 5 years ago
- Implementation network trimming using pytorch☆14Updated 5 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆18Updated 3 years ago
- ☆30Updated 4 years ago
- This is the official code repository for paper "Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantizati…☆12Updated 3 weeks ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆32Updated 3 years ago
- pytorch-tiny-imagenet☆176Updated last year
- Code release for MPCViT accepted by ICCV 2023☆16Updated 5 months ago
- ☆49Updated 4 years ago
- ☆16Updated 3 years ago
- ☆45Updated 3 years ago
- [NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles☆55Updated 3 years ago
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆33Updated 4 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆122Updated 3 years ago
- ☆26Updated 6 years ago