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 Protection
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
Collaborative Information Sharing for ML-Based Threat Detection
Authors: Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser, Jack Davidson | Published: 2021-04-23
Encrypted Distributed Lasso for Sparse Data Predictive Control
Authors: Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas | Published: 2021-04-23
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Authors: Sijun Tan, Brian Knott, Yuan Tian, David J. Wu | Published: 2021-04-22
Vectorized Secure Evaluation of Decision Forests
Authors: Raghav Malik, Vidush Singhal, Benjamin Gottfried, Milind Kulkarni | Published: 2021-04-19
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
Authors: Jing Ma, Si-Ahmed Naas, Stephan Sigg, Xixiang Lyu | Published: 2021-04-14
Towards Causal Federated Learning For Enhanced Robustness and Privacy
Authors: Sreya Francis, Irene Tenison, Irina Rish | Published: 2021-04-14