A Review of Confidentiality Threats Against Embedded Neural Network Models
Authors: Raphaël Joud, Pierre-Alain Moellic, Rémi Bernhard, Jean-Baptiste Rigaud | Published: 2021-05-04
データプライバシー評価
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX
Authors: Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan | Published: 2021-05-04 | Updated: 2021-11-08
Quantifying the Tradeoff Between Cybersecurity and Location Privacy
Authors: Dajiang Suo, M. Elena Renda, Jinhua Zhao | Published: 2021-05-04 | Updated: 2021-12-10
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
Authors: Yusuke Koda, Jihong Park, Mehdi Bennis, Praneeth Vepakomma, Ramesh Raskar | Published: 2021-05-02
Privacy and Integrity Preserving Training Using Trusted Hardware
Authors: Hanieh Hashemi, Yongqin Wang, Murali Annavaram | Published: 2021-05-01
Improved Matrix Gaussian Mechanism for Differential Privacy
Authors: Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang | Published: 2021-04-30
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model’s Complexity
Authors: Mathias P. M. Parisot, Balazs Pejo, Dayana Spagnuelo | Published: 2021-04-27
Dataset Inference: Ownership Resolution in Machine Learning
Authors: Pratyush Maini, Mohammad Yaghini, Nicolas Papernot | Published: 2021-04-21
FoggySight: A Scheme for Facial Lookup Privacy
Authors: Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno | Published: 2020-12-15
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections
Authors: Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin | Published: 2020-12-11