文献データベース

Digit Recognition From Wrist Movements and Security Concerns with Smart Wrist Wearable IOT Devices

Authors: Lambert T. Leong, Sean Wiere | Published: 2020-04-22
セキュリティ保証
機械学習の役割
特徴エンジニアリング

Live Trojan Attacks on Deep Neural Networks

Authors: Robby Costales, Chengzhi Mao, Raphael Norwitz, Bryan Kim, Junfeng Yang | Published: 2020-04-22 | Updated: 2020-05-27
トロイの木馬検出
攻撃手法
深層学習技術

How to compare adversarial robustness of classifiers from a global perspective

Authors: Niklas Risse, Christina Göpfert, Jan Philip Göpfert | Published: 2020-04-22 | Updated: 2020-10-15
ポイズニング
ロバスト性分析
評価手法

Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks

Authors: William Aiken, Hyoungshick Kim, Simon Woo | Published: 2020-04-22
攻撃手法
知的財産保護
透かし除去技術

Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection

Authors: Olga Petrova, Karel Durkota, Galina Alperovich, Karel Horak, Michal Najman, Branislav Bosansky, Viliam Lisy | Published: 2020-04-22
敵対的攻撃
最適化アルゴリズムの選択と評価
異常検知アルゴリズム

Provably robust deep generative models

Authors: Filipe Condessa, Zico Kolter | Published: 2020-04-22
堅牢性向上手法
敵対的攻撃
深層学習手法

A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

Authors: Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2020-04-22 | Updated: 2020-04-23
プライバシー保護技術
ポイズニング
攻撃タイプ

Probabilistic Safety for Bayesian Neural Networks

Authors: Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska | Published: 2020-04-21 | Updated: 2020-06-19
ベイズセキュリティ
ロバスト性に関する評価
深層学習手法

Certifying Joint Adversarial Robustness for Model Ensembles

Authors: Mainuddin Ahmad Jonas, David Evans | Published: 2020-04-21
モデルアンサンブル
堅牢性向上手法
敵対的サンプル

EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks

Authors: Sanchari Sen, Balaraman Ravindran, Anand Raghunathan | Published: 2020-04-21
機械学習
深層学習に基づくIDS
防御手法