aks2203 / poisoning-benchmark
A unified benchmark problem for data poisoning attacks
☆155Updated last year
Alternatives and similar repositories for poisoning-benchmark:
Users that are interested in poisoning-benchmark are comparing it to the libraries listed below
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆102Updated 8 months ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆70Updated 7 years ago
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆36Updated 9 months ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆122Updated 3 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆127Updated last year
- ☆85Updated 4 years ago
- ☆65Updated last year
- Knockoff Nets: Stealing Functionality of Black-Box Models☆96Updated 2 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆57Updated 5 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆71Updated last year
- Code for "Label-Consistent Backdoor Attacks"☆57Updated 4 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆165Updated 10 months ago
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆125Updated 5 months ago
- ☆31Updated 8 months ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Updated 2 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆48Updated 6 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆147Updated 4 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆99Updated 2 years ago
- Library containing PyTorch implementations of various adversarial attacks and resources☆155Updated last week
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆165Updated 4 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆57Updated 5 months ago
- Craft poisoned data using MetaPoison☆51Updated 4 years ago
- ☆81Updated 3 years ago
- ☆25Updated 6 years ago
- ☆95Updated 4 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago