Poisoning

How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers

Authors: Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou | Published: 2022-10-20 | Updated: 2024-02-02
Privacy Risk Management
Poisoning
Membership Inference
2022.10.20 2025.05.28
Literature Database

MaSS: Multi-attribute Selective Suppression

Authors: Chun-Fu Chen, Shaohan Hu, Zhonghao Shi, Prateek Gulati, Bill Moriarty, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati | Published: 2022-10-18 | Updated: 2022-10-24
Data Privacy Assessment
Poisoning
Performance Evaluation
2022.10.18 2025.05.28
Literature Database

Federated Learning with Privacy-Preserving Ensemble Attention Distillation

Authors: Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David Doermann, Ziyan Wu | Published: 2022-10-16
Privacy Risk Management
Poisoning
Performance Evaluation
2022.10.16 2025.05.28
Literature Database

Federated Learning for Tabular Data: Exploring Potential Risk to Privacy

Authors: Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel | Published: 2022-10-13
Privacy Risk Management
Poisoning
Generative Adversarial Network
2022.10.13 2025.05.28
Literature Database

Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization

Authors: Ziquan Liu, Antoni B. Chan | Published: 2022-10-11
Poisoning
Performance Evaluation Metrics
Adversarial attack
2022.10.11 2025.05.28
Literature Database

DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing

Authors: Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang | Published: 2022-10-06
Privacy Protection Method
Framework
Poisoning
2022.10.06 2025.05.28
Literature Database

On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses

Authors: Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra | Published: 2022-10-04
Clustering methods
Poisoning
Attack Method
2022.10.04 2025.05.28
Literature Database

Blockchain-based Monitoring for Poison Attack Detection in Decentralized Federated Learning

Authors: Ranwa Al Mallah, David Lopez | Published: 2022-09-30
Blockchain Economics
Poisoning
Efficiency of Distributed Learning
2022.09.30 2025.05.28
Literature Database

A Snapshot of the Frontiers of Client Selection in Federated Learning

Authors: Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto, Nuria Oliver | Published: 2022-09-27 | Updated: 2023-01-02
Client Clustering
Client Characteristics
Poisoning
2022.09.27 2025.05.28
Literature Database

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

Authors: Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang | Published: 2022-09-21
Framework
Poisoning
Improvement of Learning
2022.09.21 2025.05.28
Literature Database
Next page