Efficient Encrypted Inference on Ensembles of Decision Trees
Authors: Kanthi Sarpatwar, Karthik Nandakumar, Nalini Ratha, James Rayfield, Karthikeyan Shanmugam, Sharath Pankanti, Roman Vaculin | Published: 2021-03-05
Performance Evaluation
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Authors: Yansong Gao, Minki Kim, Chandra Thapa, Sharif Abuadbba, Zhi Zhang, Seyit A. Camtepe, Hyoungshick Kim, Surya Nepal | Published: 2021-03-03
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning
Authors: Farhad Farokhi | Published: 2020-11-30 | Updated: 2020-12-01
Adversarial Examples for $k$-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
Authors: Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David Wagner | Published: 2020-11-19 | Updated: 2021-11-01
Adversarially Robust Classification based on GLRT
Authors: Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani | Published: 2020-11-16
A Large-Scale Database for Graph Representation Learning
Authors: Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau | Published: 2020-11-16 | Updated: 2021-11-07
Power Side-Channel Attacks on BNN Accelerators in Remote FPGAs
Authors: Shayan Moini, Shanquan Tian, Jakub Szefer, Daniel Holcomb, Russell Tessier | Published: 2020-11-15 | Updated: 2021-04-18
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
Authors: T. Tony Cai, Yichen Wang, Linjun Zhang | Published: 2020-11-08 | Updated: 2020-12-06
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
Authors: Pranav Subramani, Nicholas Vadivelu, Gautam Kamath | Published: 2020-10-18 | Updated: 2021-10-26
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning
Authors: Vaikkunth Mugunthan, Ravi Rahman, Lalana Kagal | Published: 2020-07-08