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☆43Updated 5 years ago
- In the repository we provide a sample code to implement the Targeted Bit Trojan attack.☆19Updated 4 years ago
- ☆25Updated 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)☆11Updated last year
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆15Updated 3 years ago
- Official Code Implementation for the CCS 2022 Paper "On the Privacy Risks of Cell-Based NAS Architectures"☆11Updated 2 years ago
- ☆21Updated last year
- 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
- Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]☆33Updated 3 years ago
- Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]☆10Updated 3 years ago
- ☆24Updated 2 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆30Updated 4 years ago
- Create tiny ML systems for on-device learning.☆20Updated 4 years ago
- ☆39Updated 6 months ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Updated 2 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆27Updated 3 years ago
- Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch☆17Updated last year
- Automatic ReLU Reduction☆15Updated last year
- Official Implementation of "LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference"☆24Updated last year
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆34Updated last year
- ☆16Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆61Updated 5 years ago
- ☆12Updated last year
- ☆31Updated 4 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆48Updated 6 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆54Updated 6 years ago
- Ares: A framework for quantifying the resilience of deep neural networks☆38Updated 5 years ago
- Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction☆34Updated 4 years ago