adversarial classification Latest Research Papers

A Statistical Threshold for Adversarial Classification in Laplace Mechanisms

10.1109/itw48936.2021.9611472 ◽

2021 ◽

Author(s):

Ayse Unsal ◽

Melek Onen

Keyword(s):

Adversarial Classification

Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning

Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3468218.3469047 ◽

2021 ◽

Author(s):

Kian Hamedani ◽

Lingjia Liu ◽

Jithin Jagannath ◽

Yang (Cindy) Yi

Keyword(s):

Game Theory ◽

Deep Learning ◽

Smart Grids ◽

Adversarial Classification

Privacy Against Adversarial Classification in Cyber-Physical Systems

2020 59th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc42340.2020.9303960 ◽

2020 ◽

Author(s):

Carlos Murguia ◽

Paulo Tabuada

Keyword(s):

Cyber Physical Systems ◽

Physical Systems ◽

Adversarial Classification

Perspectives on Adversarial Classification

Mathematics ◽

10.3390/math8111957 ◽

2020 ◽

Vol 8 (11) ◽

pp. 1957

Author(s):

David Rios Insua ◽

Roi Naveiro ◽

Victor Gallego

Keyword(s):

Machine Learning ◽

Risk Analysis ◽

Common Knowledge ◽

Adversarial Classification ◽

Game Theoretic ◽

Classical Game

Adversarial classification (AC) is a major subfield within the increasingly important domain of adversarial machine learning (AML). So far, most approaches to AC have followed a classical game-theoretic framework. This requires unrealistic common knowledge conditions untenable in the security settings typical of the AML realm. After reviewing such approaches, we present alternative perspectives on AC based on adversarial risk analysis.

Generative attention adversarial classification network for unsupervised domain adaptation

Pattern Recognition ◽

10.1016/j.patcog.2020.107440 ◽

2020 ◽

Vol 107 ◽

pp. 107440 ◽

Cited By ~ 2

Author(s):

Wendong Chen ◽

Haifeng Hu

Keyword(s):

Domain Adaptation ◽

Adversarial Classification ◽

Unsupervised Domain Adaptation

Perspectives on Adversarial Classification

10.20944/preprints202009.0184.v1 ◽

2020 ◽

Cited By ~ 1

Author(s):

David Rios Insua ◽

Roi Naveiro ◽

Victor Gallego

Keyword(s):

Machine Learning ◽

Risk Analysis ◽

Common Knowledge ◽

Adversarial Classification ◽

Game Theoretic ◽

Classical Game

Adversarial Classification (AC) is a major subfield within the increasingly important domain of adversarial machine learning (AML). Most approaches to AC so far have followed a classical game-theoretic framework. This requires unrealistic common knowledge conditions untenable in the security settings typical of the AML realm. After reviewing such approaches, we present alternative perspectives on AC based on Adversarial Risk Analysis.

Adversarial Classification: Impact of Agents’ Faking Cost on Firms and Agents

Production and Operations Management ◽

10.1111/poms.13251 ◽

2020 ◽

Author(s):

Asunur Cezar ◽

Srinivasan Raghunathan ◽

Sumit Sarkar

Keyword(s):

Adversarial Classification

A Fundamental Performance Limitation for Adversarial Classification

IEEE Control Systems Letters ◽

10.1109/lcsys.2019.2921989 ◽

2020 ◽

Vol 4 (1) ◽

pp. 169-174 ◽

Cited By ~ 2

Author(s):

Abed Al Rahman Al Makdah ◽

Vaibhav Katewa ◽

Fabio Pasqualetti

Keyword(s):

Adversarial Classification ◽

Performance Limitation

Adversarial Classification Under Differential Privacy

Proceedings 2020 Network and Distributed System Security Symposium ◽

10.14722/ndss.2020.23047 ◽

2020 ◽

Author(s):

Jairo Giraldo ◽

Alvaro Cardenas ◽

Murat Kantarcioglu ◽

Jonathan Katz

Keyword(s):

Differential Privacy ◽

Adversarial Classification

Adversarial classification: An adversarial risk analysis approach

International Journal of Approximate Reasoning ◽

10.1016/j.ijar.2019.07.003 ◽

2019 ◽

Vol 113 ◽

pp. 133-148 ◽

Cited By ~ 5

Author(s):

Roi Naveiro ◽

Alberto Redondo ◽

David Ríos Insua ◽

Fabrizio Ruggeri

Keyword(s):

Risk Analysis ◽

Analysis Approach ◽

Adversarial Classification

adversarial classification
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

A Statistical Threshold for Adversarial Classification in Laplace Mechanisms

Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning

Privacy Against Adversarial Classification in Cyber-Physical Systems

Perspectives on Adversarial Classification

Generative attention adversarial classification network for unsupervised domain adaptation

Perspectives on Adversarial Classification

Adversarial Classification: Impact of Agents’ Faking Cost on Firms and Agents

A Fundamental Performance Limitation for Adversarial Classification

Adversarial Classification Under Differential Privacy

Adversarial classification: An adversarial risk analysis approach

Export Citation Format

adversarial classificationRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

A Statistical Threshold for Adversarial Classification in Laplace Mechanisms

Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning

Privacy Against Adversarial Classification in Cyber-Physical Systems

Perspectives on Adversarial Classification

Generative attention adversarial classification network for unsupervised domain adaptation

Perspectives on Adversarial Classification

Adversarial Classification: Impact of Agents’ Faking Cost on Firms and Agents

A Fundamental Performance Limitation for Adversarial Classification

Adversarial Classification Under Differential Privacy

Adversarial classification: An adversarial risk analysis approach

adversarial classification
Recently Published Documents