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Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
dbms
privacy
paillier
security
k-anonymity
deep-learning
evasion-attack
machine-learning
poisoning-attacks
federated-learning
adversarial-attacks
adversarial-examples
differential-privacy
membership-inference
paillier-cryptosystem
homomorphic-encryption
model-inversion-attacks
adversarial-machine-learning
Created
2021-01-16
939 commits to main branch, last one 8 months ago
PhD/MSc course on Machine Learning Security (Univ. Cagliari)
Created
2021-09-06
91 commits to main branch, last one 4 days ago
A Python library for Secure and Explainable Machine Learning
Created
2020-04-20
3,052 commits to master branch, last one 7 months ago
The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack...
Created
2022-04-08
59 commits to main branch, last one about a year ago
Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary
Created
2019-04-12
79 commits to master branch, last one 2 years ago