An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data
Authors: Pepijn de Reus, Kyra Dresen, Ana Oprescu, Kristina Irion, Ans Kolk | Published: 2024-09-30 | Updated: 2024-10-12
Privacy Protection
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Authors: Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi Madduri | Published: 2024-09-17
Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities
Authors: Zikai Zhang, Suman Rath, Jiaohao Xu, Tingsong Xiao | Published: 2024-09-16
Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications
Authors: Jessica Smith, David Williams, Emily Brown | Published: 2024-09-16
A Large-Scale Privacy Assessment of Android Third-Party SDKs
Authors: Mark Huasong Meng, Chuan Yan, Yun Hao, Qing Zhang, Zeyu Wang, Kailong Wang, Sin Gee Teo, Guangdong Bai, Jin Song Dong | Published: 2024-09-16
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
Authors: Siddhant Dutta, Pavana P Karanth, Pedro Maciel Xavier, Iago Leal de Freitas, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David E. Bernal Neira | Published: 2024-09-14 | Updated: 2024-10-12
Research on Data Right Confirmation Mechanism of Federated Learning based on Blockchain
Authors: Xiaogang Cheng, Ren Guo | Published: 2024-09-13
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning
Authors: Jiaxang Tang, Zeshan Fayyaz, Mohammad A. Salahuddin, Raouf Boutaba, Zhi-Li Zhang, Ali Anwar | Published: 2024-09-11
SoK: Security and Privacy Risks of Medical AI
Authors: Yuanhaur Chang, Han Liu, Evin Jaff, Chenyang Lu, Ning Zhang | Published: 2024-09-11
Exploring User-level Gradient Inversion with a Diffusion Prior
Authors: Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley Malin, Kieran Parsons, Ye Wang | Published: 2024-09-11