yu4u / dnn-watermark
Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.
☆119Updated 2 years ago
Alternatives and similar repositories for dnn-watermark:
Users that are interested in dnn-watermark are comparing it to the libraries listed below
- Watermarking Deep Neural Networks (USENIX 2018)☆96Updated 4 years ago
- The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".☆113Updated last year
- The implement of paper "How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN…☆23Updated 4 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- ☆44Updated 4 years ago
- core code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling☆59Updated 3 years ago
- ☆22Updated 5 years ago
- Code for Adv-watermark: A novel watermark perturbation for adversarial examples (ACM MM2020)☆41Updated 4 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆91Updated 6 years ago
- [NeurIPS 2019] This is the code repo of our novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into va…☆79Updated last year
- ☆85Updated 3 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆137Updated 4 years ago
- HiDDeN: Hiding Data with Deep Networks.☆96Updated 6 years ago
- Universal Adversarial Networks☆33Updated 6 years ago
- PyTorch implementation of adversarial patch☆209Updated 3 years ago
- Watermarking against model extraction attacks in MLaaS. ACM MM 2021.☆33Updated 3 years ago
- The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)☆112Updated 2 years ago
- ☆54Updated last year
- Detecting Adversarial Examples in Deep Neural Networks☆66Updated 6 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 6 years ago
- Public repo for transferability ICLR 2017 paper☆52Updated 6 years ago
- A general approach for using deep neural network for digital watermarking☆14Updated 4 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 5 years ago
- This is the code repo of our CVPR2021 on protecting the IPR of Generative Adversarial Networks (GANs) from Ambiguity Attack☆31Updated last year
- ☆83Updated 4 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆93Updated 4 years ago
- NIPS 2017 - Adversarial Learning☆34Updated 7 years ago
- Website & Documentation: https://sbaresearch.github.io/model-watermarking/☆21Updated last year
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆30Updated 7 years ago
- ☆18Updated 2 years ago