AIセキュリティポータルbot

When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures

Authors: Gil Fidel, Ron Bitton, Asaf Shabtai | Published: 2019-09-08
ポイズニング
敵対的サンプル
敵対的サンプルの検知

On the Need for Topology-Aware Generative Models for Manifold-Based Defenses

Authors: Uyeong Jang, Susmit Jha, Somesh Jha | Published: 2019-09-07 | Updated: 2020-02-17
トポロジー解析
敵対的サンプル
機械学習

Distributed creation of Machine learning agents for Blockchain analysis

Authors: Zvezdin Besarabov, Todor Kolev | Published: 2019-09-06
インセンティブメカニズム
ブロックチェーンとFLの統合
機械学習

Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information

Authors: Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert Mullins, Ross Anderson | Published: 2019-09-06 | Updated: 2019-11-21
学習タスクの効率的な解決
攻撃パターン抽出
敵対的訓練

Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents

Authors: Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar | Published: 2019-09-05 | Updated: 2019-11-19
ポイズニング
攻撃パターン抽出
敵対的訓練

Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy

Authors: Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song | Published: 2019-09-05
プライバシー保護アルゴリズム
プライバシー保護メカニズム
機械学習

Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis

Authors: Ramtine Tofighi-Shirazi, Irina Asăvoae, Philippe Elbaz-Vincent, Thanh-Ha Le | Published: 2019-09-04
モデル評価手法
機械学習
特徴重要度分析

HinDom: A Robust Malicious Domain Detection System based on Heterogeneous Information Network with Transductive Classification

Authors: Xiaoqing Sun, Mingkai Tong, Jiahai Yang | Published: 2019-09-04
グラフ構築
データ管理システム
機械学習アルゴリズム

Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform

Authors: Mathias Lecuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu | Published: 2019-09-04 | Updated: 2019-09-06
データ管理システム
プライバシー保護メカニズム
機械学習アルゴリズム

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation

Authors: Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli | Published: 2019-09-03 | Updated: 2019-12-20
学習の改善
敵対的サンプル
敵対的サンプルの脆弱性