Certifiably Robust Interpretation via Renyi Differential Privacy
Authors: Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan | Published: 2021-07-04
計算効率
Bayesian Attention Belief Networks
Authors: Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou | Published: 2021-06-09
Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models
Authors: Ameya D. Patil, Michael Tuttle, Alexander G. Schwing, Naresh R. Shanbhag | Published: 2021-05-31 | Updated: 2021-06-11
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
Authors: Xiaolin Chen, Shuai Zhou, Bei guan, Kai Yang, Hao Fan, Hu Wang, Yongji Wang | Published: 2021-05-20 | Updated: 2021-12-08
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization
Authors: Lunchen Xie, Jiaqi Liu, Songtao Lu, Tsung-hui Chang, Qingjiang Shi | Published: 2021-05-12
SIRNN: A Math Library for Secure RNN Inference
Authors: Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, Aseem Rastogi | Published: 2021-05-10
Quantifying identifiability to choose and audit $ε$ in differentially private deep learning
Authors: Daniel Bernau, Günther Eibl, Philip W. Grassal, Hannah Keller, Florian Kerschbaum | Published: 2021-03-04 | Updated: 2021-07-20
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
Private Stochastic Convex Optimization: Optimal Rates in $\ell_1$ Geometry
Authors: Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar | Published: 2021-03-02
SoK: On the Security Challenges and Risks of Multi-Tenant FPGAs in the Cloud
Authors: Shaza Zeitouni, Ghada Dessouky, Ahmad-Reza Sadeghi | Published: 2020-09-29 | Updated: 2020-10-05