Topic: poisoning-attacks Goto Github
Some thing interesting about poisoning-attacks
Some thing interesting about poisoning-attacks
poisoning-attacks,Official Website of https://github.com/tamlhp/awesome-recsys-poisoning
Organization: awesome-recsys-poisoning
Home Page: https://awesome-recsys-poisoning.github.io/
poisoning-attacks,Tensorflow implementation of APT (Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021)
User: daftstone
poisoning-attacks,Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021)
User: daftstone
poisoning-attacks,Test tool to simulate two types of poisoning attack on AI model
User: dahmansphi
Home Page: https://www.dahmansphi.com/
poisoning-attacks,Test tool to simulate defense from poisoning attack on AI model
User: dahmansphi
Home Page: https://www.dahmansphi.com/
poisoning-attacks,This project uses Python and machine learning to classify plant species as poisonous or non-poisonous. It aims to provide an efficient way to identify safe and harmful plants, useful for botanists, hikers, and the agricultural sector.
User: gadigesrinivas
poisoning-attacks,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
User: gillhuang-xtler
poisoning-attacks,Taller de Adversarial Machine Learning
User: jiep
poisoning-attacks,Indirect Invisible Poisoning Attacks on Domain Adaptation
User: junwu6
poisoning-attacks,Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
User: koukyosyumei
poisoning-attacks,
Organization: madrylab
Home Page: https://arxiv.org/abs/2307.10163
poisoning-attacks,A Python library for Secure and Explainable Machine Learning
Organization: pralab
Home Page: https://secml.readthedocs.io
poisoning-attacks,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 success rate.
Organization: reds-lab
Home Page: https://arxiv.org/pdf/2204.05255.pdf
poisoning-attacks,FedAnil is a secure blockchain-enabled Federated Deep Learning Model to address non-IID data and privacy concerns. This repo hosts a simulation for FedAnil written in Python.
User: rezafotohi
poisoning-attacks,FedAnil+ is a novel lightweight, and secure Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil+ written in Python.
User: rezafotohi
poisoning-attacks,M. Anisetti, C. A. Ardagna, A. Balestrucci, N. Bena, E. Damiani, C. Y. Yeun. "On the Robustness of Random Forest Against Data Poisoning: An Ensemble-Based Approach". In IEEE TSUSC, vol. 8 no. 4
Organization: sesarlab
poisoning-attacks,A Survey of Poisoning Attacks and Defenses in Recommender Systems
User: tamlhp
Home Page: https://awesome-recsys-poisoning.github.io/
poisoning-attacks,Continuous Integration And Continuous Delivery Poisoning Guides
User: theaqueen21
Home Page: https://blackout4rmy.net
poisoning-attacks,PhD/MSc course on Machine Learning Security (Univ. Cagliari)
Organization: unica-mlsec
Home Page: https://unica-mlsec.github.io/mlsec/
poisoning-attacks,Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021)
Organization: ustcml
poisoning-attacks,Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021)
Organization: ustcml
poisoning-attacks,Hack tool for local network: Man in the middle, hosts scan, ARP poisoning, Router and DNS Poisoning
User: xaviermonin
poisoning-attacks,Poisoning attack methods against adversarial training algorithms
User: zjfheart
Home Page: https://arxiv.org/abs/2305.00399
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