salmonella
Slippage reversal
A research project demonstrating the exploitation of slippage in mempool trades by reversing the victim's strategy
Wrecking sandwich traders for fun and profit
2k stars
65 watching
165 forks
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
gauss314/defi | Tools and libraries for calculating DeFi metrics and analyzing cryptocurrency data | 558 |
gdisag/gradient_disaggregation | An algorithm that breaks secure aggregation protocols in federated learning by recovering individual model updates from aggregated sums | 14 |
openzeppelin/damn-vulnerable-defi | A collection of DeFi challenges with intentionally introduced vulnerabilities to simulate real-world security issues in Ethereum-based smart contracts. | 671 |
dcalab-unipv/turning-privacy-preserving-mechanisms-against-federated-learning | This project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms. | 8 |
jianyizhang123/flop | An experiment comparing different federated learning approaches for image classification tasks with non-iid datasets. | 8 |
ml-postech/gradient-inversion-generative-image-prior | An implementation of a method to invert gradients in federated learning to potentially reveal sensitive client data | 39 |
0xdaksh/defi-playground | A playground for learning and experimenting with DeFi protocols | 26 |
kaiyuanzh/flip | A framework for defending against backdoor attacks in federated learning systems | 44 |
zoesgithub/fedreg | An algorithm to improve convergence rates and protect privacy in Federated Learning by addressing the catastrophic forgetting issue during local training | 26 |
o-o-overflow/dc2019q-ooops | A proof-of-concept project demonstrating a vulnerability in a proxy service to exploit a universal cross-site scripting bug and access restricted internal websites. | 13 |
git-disl/lockdown | A backdoor defense system against attacks in federated learning algorithms used for machine learning model training on distributed datasets. | 14 |
radimspetlik/si-ddpm-fmo | A Python-based framework for training and evaluating deep learning models for single-image deblurring, shape, and trajectory recovery of fast-moving objects. | 5 |
ksreenivasan/ood_federated_learning | Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them. | 64 |
rozumden/defmo | A deep learning framework for deblurring and recovering the shape of fast-moving objects from blurred images | 170 |
nicolasgarcia214/damn-vulnerable-defi-foundry | A DeFi smart contract training tool that simulates real-world vulnerabilities to help developers learn offensive security testing skills | 494 |