HanxunH / Unlearnable-Examples
[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
☆148Updated 2 months ago
Related projects: ⓘ
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆143Updated 3 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆115Updated 2 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆124Updated last year
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆49Updated last year
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆144Updated 5 years ago
- ☆59Updated 7 months ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆75Updated 4 years ago
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆111Updated last month
- Revisiting Transferable Adversarial Images (arXiv)☆113Updated last month
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆73Updated 2 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆30Updated 2 months ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆66Updated 5 months ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆47Updated last year
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆84Updated 3 years ago
- ☆73Updated 3 years ago
- ☆47Updated 3 years ago
- ☆42Updated 11 months ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆91Updated last month
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆52Updated 5 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆70Updated 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…☆38Updated 2 years ago
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆20Updated last year
- ☆55Updated 2 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆90Updated 2 years ago
- Code for "Label-Consistent Backdoor Attacks"☆48Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆148Updated 11 months ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆32Updated 4 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆52Updated 3 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆52Updated last year
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆151Updated 3 years ago