Poisoning

Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems

Authors: Ibrahim Aliyu, Selinde van Engelenburg, Muhammed Bashir Muazu, Jinsul Kim, Chang Gyoon Lim | Published: 2022-07-11
Poisoning
Attack Type
Adversarial Learning

Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms

Authors: Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif | Published: 2022-07-05
Privacy Protection
Poisoning
Defense Method

Defending against the Label-flipping Attack in Federated Learning

Authors: Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia | Published: 2022-07-05
Algorithm Design
Poisoning
Defense Method

FL-Defender: Combating Targeted Attacks in Federated Learning

Authors: Najeeb Jebreel, Josep Domingo-Ferrer | Published: 2022-07-02
Attack Methods against DFL
Algorithm Design
Poisoning

I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences

Authors: Daryna Oliynyk, Rudolf Mayer, Andreas Rauber | Published: 2022-06-16 | Updated: 2023-06-06
Poisoning
Membership Inference
Adversarial Attack Methods

Deep Leakage from Model in Federated Learning

Authors: Zihao Zhao, Mengen Luo, Wenbo Ding | Published: 2022-06-10
Attack Methods against DFL
Poisoning
Federated Learning

Gradient Obfuscation Gives a False Sense of Security in Federated Learning

Authors: Kai Yue, Richeng Jin, Chau-Wai Wong, Dror Baron, Huaiyu Dai | Published: 2022-06-08 | Updated: 2022-10-14
Attack Methods against DFL
Poisoning
Reconstruction Durability

Group privacy for personalized federated learning

Authors: Filippo Galli, Sayan Biswas, Kangsoo Jung, Tommaso Cucinotta, Catuscia Palamidessi | Published: 2022-06-07 | Updated: 2022-09-04
Privacy Assessment
Poisoning
Federated Learning

Building Robust Ensembles via Margin Boosting

Authors: Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala | Published: 2022-06-07
Poisoning
Robustness
Adversarial Attack Methods

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning

Authors: Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie | Published: 2022-06-07 | Updated: 2022-10-31
Bias
Poisoning
Adversarial Learning