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Adversarial machine learning

Adversarial machine learning is a research field that lies at the intersection of machine learning and computer security. It aims to enable the safe… 
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BiometricsInternational Conference on Machine LearningJournal of Machine Learning ResearchTensorFlow

Broader (2)

Computer securityMachine learning

Papers overview

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2020
2020
Detecting, Diagnosing, Deflecting and Designing Adversarial Attacks
Author(s): Qin, Yao | Advisor(s): Cottrell, Garrison | Abstract: There has been an ongoing cycle between stronger attacks and… 
2020
2020
Reverse Lebesgue and Gaussian isoperimetric inequalities for parallel sets with applications
The $r$-parallel set of a measurable set $A \subseteq \mathbb R^d$ is the set of all points whose distance from $A$ is at most $r… 
2019
2019
Adversarial Attacks on Grid Events Classification: An Adversarial Machine Learning Approach
With the ever-increasing reliance on data for data-driven applications in power grids, such as event cause analysis, the… 
2019
2019
Legislating Autonomous Vehicles against the Backdrop of Adversarial Machine Learning Findings
Recent studies on adversarial machine learning1 made Michael Grossman, a Texas-based injury lawyer, skeptical of the viability of… 
2019
2019
Defending Against Adversarial Machine Learning
An Adversarial System to attack and an Authorship Attribution System (AAS) to defend itself against the attacks are analyzed… 
2019
2019
Vulnerability Analysis for Data Driven Pricing Schemes
Data analytics and machine learning techniques are being rapidly adopted into the power system, including power system control as… 
2018
2018
Towards Adversarial Configurations for Software Product Lines
Ensuring that all supposedly valid configurations of a software product line (SPL) lead to well-formed and acceptable products is… 
2018
2018
Intrusion-Resilient Classifier Approximation: From Wildcard Matching to Range Membership
We study the problem of securing machine learning classifiers against intrusion attacks (i.e., attacks that somehow retrieve the… 
2016
2016
Security Analytics in the Context of Adversarial Machine Learning
Bio Doug Tygar is Professor of Computer Science at UC Berkeley and also a Professor of Information Management at UC Berkeley. He… 
2015
2015
Study of Evasion Attack using Feature Selection in Adversarial Environment
: Not only Pattern recognition but also machine learning techniques have been increased in adversarial settings such as intrusion…