Changing several bit which overwhelms the quantized CNN
☆46Oct 26, 2019Updated 7 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)☆35Jul 3, 2021Updated 5 years ago
- Official code for the ICCV2023 paper ``One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training''☆21Aug 9, 2023Updated 3 years ago
- This is the official implementation of NNSplitter (ICML'23)☆14Jun 11, 2024Updated 2 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆19Jul 20, 2021Updated 5 years ago
- Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy☆16Jan 27, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- In the repository we provide a sample code to implement the Targeted Bit Trojan attack.☆20Nov 7, 2020Updated 6 years ago
- Structured Binary Neural Networks for Image Recognition☆16Oct 12, 2022Updated 4 years ago
- Pruned model: VGG & ResNet-50☆19Apr 11, 2019Updated 7 years ago
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆70Feb 22, 2024Updated 2 years ago