praateekmahajan / TrojanNN-Pytorch
Implementation of https://github.com/PurduePAML/TrojanNN
☆9Updated 5 years ago
Related projects: ⓘ
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆47Updated 4 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆23Updated 2 years ago
- ☆19Updated 4 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆47Updated 2 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated 11 months ago
- ☆60Updated 3 years ago
- ☆10Updated 3 years ago
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆23Updated 3 years ago
- AdvDoor: Adversarial Backdoor Attack of Deep Learning System☆30Updated last year
- [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification☆28Updated 3 months ago
- ☆73Updated 3 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 5 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
- Code release for DeepJudge (S&P'22)☆50Updated last year
- Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper☆19Updated 4 years ago
- Code for "Label-Consistent Backdoor Attacks"☆48Updated 3 years ago
- ☆25Updated 5 years ago
- KNN Defense Against Clean Label Poisoning Attacks☆10Updated 2 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆25Updated 3 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆49Updated last year
- Exploring the Orthogonality and Linearity of Backdoor Attacks [IEEE S&P 2024]☆16Updated last month
- A simple implementation of BadNets on MNIST☆31Updated 5 years ago
- ☆14Updated 2 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆22Updated 4 years ago
- ☆20Updated last year
- ☆19Updated 2 years ago
- Craft poisoned data using MetaPoison☆47Updated 3 years ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 5 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆16Updated 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