文献データベース

Attacking Graph-based Classification via Manipulating the Graph Structure

Authors: Binghui Wang, Neil Zhenqiang Gong | Published: 2019-03-01 | Updated: 2019-08-13
ポイズニング
モデルインバージョン
敵対的グラフ分類

Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications

Authors: Bryse Flowers, R. Michael Buehrer, William C. Headley | Published: 2019-03-01
敵対的学習
敵対的摂動手法
無線チャネル検出

Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning

Authors: Mostafa Rezazad, Matthias R. Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung | Published: 2019-03-01
DDoS攻撃
IoTトラフィック特性
未知の攻撃検出

TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents

Authors: Panagiota Kiourti, Kacper Wardega, Susmit Jha, Wenchao Li | Published: 2019-03-01
ポイズニング
強化学習
敵対的攻撃手法

Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN

Authors: Ke Sun, Zhanxing Zhu, Zhouchen Lin | Published: 2019-02-28
モデルの頑健性保証
堅牢性向上手法
敵対的学習

Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors

Authors: Ke Sun, Zhanxing Zhu, Zhouchen Lin | Published: 2019-02-28
ロバスト性評価
敵対的サンプルの検知
敵対的学習

AutoGAN-based Dimension Reduction for Privacy Preservation

Authors: Hung Nguyen, Di Zhuang, Pei-Yuan Wu, Morris Chang | Published: 2019-02-27 | Updated: 2021-07-27
プライバシー保護手法
マルチクラス分類
モデルインバージョン

Tensor Dropout for Robust Learning

Authors: Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Anima Anandkumar, Ioanna Tzoulaki, Paul Matthews | Published: 2019-02-27 | Updated: 2020-12-11
モデルの頑健性保証
医療画像分析
堅牢性向上手法

Adversarial Attacks on Time Series

Authors: Fazle Karim, Somshubra Majumdar, Houshang Darabi | Published: 2019-02-27 | Updated: 2019-03-01
モデル抽出攻撃
敵対的サンプル
敵対的学習

The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection

Authors: Muhammad Zaid Hameed, Andras Gyorgy, Deniz Gunduz | Published: 2019-02-27 | Updated: 2020-04-07
敵対的サンプル
敵対的学習
無線チャネル検出