ssg-research / dawn-dynamic-adversarial-watermarking-of-neural-networks
Watermarking against model extraction attacks in MLaaS. ACM MM 2021.
☆33Updated 3 years ago
Alternatives and similar repositories for dawn-dynamic-adversarial-watermarking-of-neural-networks:
Users that are interested in dawn-dynamic-adversarial-watermarking-of-neural-networks are comparing it to the libraries listed below
- ☆44Updated 3 years ago
- Website & Documentation: https://sbaresearch.github.io/model-watermarking/☆21Updated last year
- Defending against Model Stealing via Verifying Embedded External Features☆35Updated 3 years ago
- ☆21Updated 4 years ago
- This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protecti…☆53Updated 11 months ago
- Reference implementation of the PRADA model stealing defense. IEEE Euro S&P 2019.☆33Updated 5 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆70Updated 10 months ago
- 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
- The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".☆109Updated last year
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- ☆17Updated 3 years ago
- [CCS'22] SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders☆18Updated 2 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆29Updated 4 years ago
- This is the implementation of our paper 'Open-sourced Dataset Protection via Backdoor Watermarking', accepted by the NeurIPS Workshop on …☆19Updated 3 years ago
- WAFFLE: Watermarking in Federated Learning☆17Updated last year
- ☆17Updated 3 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆54Updated 2 years ago
- ☆19Updated 2 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆123Updated last year
- ☆10Updated 3 years ago
- Code release for DeepJudge (S&P'22)☆50Updated last year
- ☆19Updated 3 years ago
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆43Updated 2 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- ☆24Updated 2 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆54Updated 3 months ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆33Updated 4 years ago