文献データベース

Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

Authors: Florian Tramèr, Dan Boneh | Published: 2018-06-08 | Updated: 2019-02-27
プライバシー保護手法
形式的検証
深層学習技術

Blind Justice: Fairness with Encrypted Sensitive Attributes

Authors: Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller | Published: 2018-06-08
プライバシー保護手法
公平性の要件
秘密分散計算

A Study of EV BMS Cyber Security Based on Neural Network SOC Prediction

Authors: Syed Rahman, Haneen Aburub, Yemeserach Mekonnen, Arif I. Sarwat | Published: 2018-06-07
サイバーセキュリティ
気候情報
透かし評価

MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model

Authors: Cheol Young Park, Kathryn Blackmond Laskey | Published: 2018-06-06 | Updated: 2018-06-08
リレーショナルデータベース
透かし評価
関数マッピング

Adversarial Attack on Graph Structured Data

Authors: Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song | Published: 2018-06-06
グラフ表現学習
バックドア攻撃
モデルの頑健性保証

Adversarial Regression with Multiple Learners

Authors: Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik | Published: 2018-06-06
ポイズニング
損失関数
敵対的学習

Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms

Authors: Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu | Published: 2018-06-06
プライバシー保護手法
モデルの頑健性保証
連合学習

Killing four birds with one Gaussian process: the relation between different test-time attacks

Authors: Kathrin Grosse, Michael T. Smith, Michael Backes | Published: 2018-06-06 | Updated: 2020-11-29
プロンプトリーキング
メンバーシップ推論
透かし評価

Set-based Obfuscation for Strong PUFs against Machine Learning Attacks

Authors: Jiliang Zhang, Chaoqun Shen | Published: 2018-06-06 | Updated: 2019-11-13
サイバーセキュリティ
ユーザー認証システム
透かし評価

Evidential Deep Learning to Quantify Classification Uncertainty

Authors: Murat Sensoy, Lance Kaplan, Melih Kandemir | Published: 2018-06-05 | Updated: 2018-10-31
不確実性の定量化
不確実性評価
深層学習手法