elliothe / BFALinks
Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)
☆33Updated 4 years ago
Alternatives and similar repositories for BFA
Users that are interested in BFA are comparing it to the libraries listed below
Sorting:
- Changing several bit which overwhelms the quantized CNN☆44Updated 6 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
- ☆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
- This is the official implementation of NNSplitter (ICML'23)☆12Updated last year
- Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]☆10Updated 3 years ago
- ☆44Updated 8 months ago
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆33Updated 4 years ago
- Official Code Implementation for the CCS 2022 Paper "On the Privacy Risks of Cell-Based NAS Architectures"☆11Updated 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 2 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆18Updated 4 years ago
- ☆32Updated 4 years ago
- ☆21Updated last year
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆34Updated 4 years ago
- Ares: A framework for quantifying the resilience of deep neural networks☆39Updated 5 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆30Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆62Updated 5 years ago
- ☆36Updated 6 years ago
- Computational Memory Neural Network Compiler☆11Updated 4 years ago
- Automatic ReLU Reduction☆15Updated 2 years ago
- ☆29Updated 2 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Updated 2 years ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆49Updated 3 years ago
- ☆24Updated 3 years ago
- Code for the signSGD paper☆91Updated 4 years ago
- Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch☆17Updated last year
- The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks☆22Updated 6 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆34Updated last year