aks2203 / poisoning-benchmarkLinks
A unified benchmark problem for data poisoning attacks
☆159Updated 2 years ago
Alternatives and similar repositories for poisoning-benchmark
Users that are interested in poisoning-benchmark are comparing it to the libraries listed below
Sorting:
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆110Updated last year
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆86Updated 4 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆71Updated 7 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆124Updated 3 years ago
- ☆66Updated last year
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆35Updated last year
- ☆32Updated last year
- ☆86Updated 4 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆130Updated last year
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆72Updated last year
- Anti-Backdoor learning (NeurIPS 2021)☆84Updated 2 years ago
- ☆26Updated 6 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Updated 3 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- Craft poisoned data using MetaPoison☆53Updated 4 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆170Updated last year
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆48Updated 6 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- ☆148Updated 11 months ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆30Updated 3 years ago
- Code for "Label-Consistent Backdoor Attacks"☆58Updated 4 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆169Updated 4 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆127Updated last year
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆32Updated 4 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆60Updated 10 months ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆34Updated 5 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Updated 2 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- ☆66Updated 6 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆211Updated 3 years ago