WenRuiUSTC / EntF
PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".
☆12Updated 2 years ago
Alternatives and similar repositories for EntF
Users that are interested in EntF are comparing it to the libraries listed below
Sorting:
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- ☆19Updated 3 years ago
- ☆19Updated 2 years ago
- Code for Transferable Unlearnable Examples☆20Updated 2 years ago
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".☆15Updated 3 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated 8 months ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- ☆21Updated 3 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆37Updated 2 years ago
- ☆18Updated last year
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆17Updated last year
- Universal Adversarial Perturbations (UAPs) for PyTorch☆48Updated 3 years ago
- ☆21Updated 4 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 6 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- ☆17Updated 3 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 3 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 3 years ago
- ☆27Updated 2 years ago
- ☆65Updated last year
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- SEAT☆20Updated last year
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆30Updated 4 years ago
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆11Updated last year
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆44Updated 3 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year