計算効率

Differentially Private Naive Bayes Classifier using Smooth Sensitivity

Authors: Farzad Zafarani, Chris Clifton | Published: 2020-03-31 | Updated: 2021-07-19
プライバシー保護手法
機械学習の応用
計算効率

Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent

Authors: Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin | Published: 2020-02-18
性能低下の要因
敵対的攻撃検出
計算効率

On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks

Authors: Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe | Published: 2020-02-18
敵対的サンプル
敵対的攻撃検出
計算効率

Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach

Authors: Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu | Published: 2019-09-10
ビザンチン攻撃対策
収束保証
計算効率

SHE: A Fast and Accurate Deep Neural Network for Encrypted Data

Authors: Qian Lou, Lei Jiang | Published: 2019-06-01 | Updated: 2019-11-16
データセット分析
深層学習技術
計算効率