Guo-Yunzhe / Awesome_BackdoorAttack_against_NeuralNetworkLinks
A paper summary of Backdoor Attack against Neural Network
☆13Updated 6 years ago
Alternatives and similar repositories for Awesome_BackdoorAttack_against_NeuralNetwork
Users that are interested in Awesome_BackdoorAttack_against_NeuralNetwork are comparing it to the libraries listed below
Sorting:
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Updated 3 years ago
- ☆46Updated 6 years ago
- Code release for DeepJudge (S&P'22)☆52Updated 2 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆48Updated 7 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆61Updated last year
- KNN Defense Against Clean Label Poisoning Attacks☆12Updated 4 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated 2 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Updated 5 years ago
- ☆68Updated 5 years ago
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆36Updated last year
- AdvDoor: Adversarial Backdoor Attack of Deep Learning System☆32Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 4 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 3 years ago
- competition☆17Updated 5 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆73Updated 7 years ago
- [AAAI'21] Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification☆29Updated 11 months ago
- ☆49Updated 4 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆45Updated 6 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- ☆19Updated 4 years ago
- ☆24Updated 3 years ago
- ☆87Updated 4 years ago
- Defending against Model Stealing via Verifying Embedded External Features☆38Updated 3 years ago
- ☆26Updated 2 years ago
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆31Updated 8 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆125Updated 3 years ago
- Code for ML Doctor☆91Updated last year
- ☆11Updated 2 years ago
- ☆22Updated 5 years ago