facebookresearch / radioactive_dataLinks
This technique modifies image data so that any model trained on it will bear an identifiable mark.
☆42Updated 3 years ago
Alternatives and similar repositories for radioactive_data
Users that are interested in radioactive_data are comparing it to the libraries listed below
Sorting:
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆37Updated 3 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆64Updated 5 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆31Updated 3 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago
- A repository for the query-efficient black-box attack, SignHunter☆23Updated 5 years ago
- Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…☆27Updated 5 years ago
- pytorch implementation of Parametric Noise Injection for adversarial defense☆45Updated 5 years ago
- ☆65Updated last year
- ConvexPolytopePosioning☆35Updated 5 years ago
- Certified Removal from Machine Learning Models☆67Updated 3 years ago
- ☆48Updated 4 years ago
- ☆19Updated 4 years ago
- ☆58Updated 2 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Updated 4 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆32Updated 4 years ago
- ☆35Updated 4 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 4 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 3 years ago
- Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021☆22Updated 3 years ago
- This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"☆30Updated 5 years ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆79Updated 5 years ago
- ☆33Updated last year
- Official Repository for the CVPR 2020 paper "Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs"☆43Updated last year
- Smooth Adversarial Training☆67Updated 4 years ago