MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning
Authors: Ajith Suresh | Published: 2021-12-26
Algorithm Design
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing
Authors: Xiao Han, Yuncong Yang, Junjie Wu | Published: 2021-12-15
Does Fully Homomorphic Encryption Need Compute Acceleration?
Authors: Leo de Castro, Rashmi Agrawal, Rabia Yazicigil, Anantha Chandrakasan, Vinod Vaikuntanathan, Chiraag Juvekar, Ajay Joshi | Published: 2021-12-13 | Updated: 2021-12-14
Beyond Robustness: Resilience Verification of Tree-Based Classifiers
Authors: Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Federico Marcuzzi, Salvatore Orlando | Published: 2021-12-05
DP-XGBoost: Private Machine Learning at Scale
Authors: Nicolas Grislain, Joan Gonzalvez | Published: 2021-10-25
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
Authors: Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi | Published: 2021-10-22 | Updated: 2022-10-21
Adversarial Attacks on Gaussian Process Bandits
Authors: Eric Han, Jonathan Scarlett | Published: 2021-10-16 | Updated: 2022-06-16
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
Authors: Yi Liu, Yuanshao Zhu, James J. Q. Yu | Published: 2021-10-14
Combining Differential Privacy and Byzantine Resilience in Distributed SGD
Authors: Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Sebastien Rouault, John Stephan | Published: 2021-10-08 | Updated: 2023-10-05
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
Authors: Anis Elgabli, Jihong Park, Chaouki Ben Issaid, Mehdi Bennis | Published: 2020-07-03 | Updated: 2020-11-17