AIセキュリティポータルbot

Building Robust Deep Neural Networks for Road Sign Detection

Authors: Arkar Min Aung, Yousef Fadila, Radian Gondokaryono, Luis Gonzalez | Published: 2017-12-26
ロバスト性向上手法
敵対的サンプル
敵対的攻撃手法

The Robust Manifold Defense: Adversarial Training using Generative Models

Authors: Ajil Jalal, Andrew Ilyas, Constantinos Daskalakis, Alexandros G. Dimakis | Published: 2017-12-26 | Updated: 2019-07-10
モデルの頑健性保証
敵対的サンプルの検知
敵対的学習

Towards Measuring Membership Privacy

Authors: Yunhui Long, Vincent Bindschaedler, Carl A. Gunter | Published: 2017-12-25
プライバシーリスク管理
メンバーシップ推論
機械学習のプライバシー保護

Query-limited Black-box Attacks to Classifiers

Authors: Fnu Suya, Yuan Tian, David Evans, Paolo Papotti | Published: 2017-12-23
クエリ生成手法
敵対的攻撃手法
機械学習アルゴリズム

Differentially Private Federated Learning: A Client Level Perspective

Authors: Robin C. Geyer, Tassilo Klein, Moin Nabi | Published: 2017-12-20 | Updated: 2018-03-01
クライアントサイドコンポーネント
プライバシー保護
連合学習

Differentially Private Distributed Learning for Language Modeling Tasks

Authors: Vadim Popov, Mikhail Kudinov, Irina Piontkovskaya, Petr Vytovtov, Alex Nevidomsky | Published: 2017-12-20 | Updated: 2018-03-06
バックドア攻撃用の毒データの検知
プライバシー問題
差分プライバシー

Query-Efficient Black-box Adversarial Examples (superceded)

Authors: Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin | Published: 2017-12-19 | Updated: 2018-04-06
ポイズニング
敵対的学習
敵対的攻撃手法

Adversarial Examples: Attacks and Defenses for Deep Learning

Authors: Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li | Published: 2017-12-19 | Updated: 2018-07-07
敵対的スペクトル攻撃検出
敵対的学習
深層学習

When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time

Authors: David J. Miller, Yulia Wang, George Kesidis | Published: 2017-12-18 | Updated: 2018-06-28
トリガーの検知
敵対的サンプル
敵対的攻撃手法

Cyberattack Detection in Mobile Cloud Computing: A Deep Learning Approach

Authors: Khoi Khac Nguyen, Dinh Thai Hoang, Dusit Niyato, Ping Wang, Diep Nguyen, Eryk Dutkiewicz | Published: 2017-12-16
MLベースのIDS
プロアクティブ防御
機械学習アルゴリズム