Inference Control through Query Modification

Abstract We present extensions to ChainQueen, an open source, fully differentiable material point method simulator for soft robotics. Previous work established ChainQueen as a powerful tool for inference, control, and co-design for soft robotics. We detail enhancements to ChainQueen, allowing for more efficient simulation and optimization and expressive co-optimization over material properties and geometric parameters. We package our simulator extensions in an easy-to-use, modular application programming interface (API) with predefined observation models, controllers, actuators, optimizers, and geometric processing tools, making it simple to prototype complex experiments in 50 lines or fewer. We demonstrate the power of our simulator extensions in over nine simulated experiments.

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Dynamic inference control in privacy preference enforcement

Proceedings of the 2006 International Conference on Privacy, Security and Trust Bridge the Gap Between PST Technologies and Business Services - PST '06 ◽

10.1145/1501434.1501464 ◽

2006 ◽

Cited By ~ 2

Author(s):

Xiangdong An ◽

Dawn Jutla ◽

Nick Cercone

Keyword(s):

Inference Control ◽

Privacy Preference

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An online associative query modification methodology

Online Review ◽

10.1108/eb024043 ◽

1980 ◽

Vol 4 (4) ◽

pp. 375-382 ◽

Cited By ~ 2

Author(s):

Scott E. Preece

Keyword(s):

Query Modification

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Uncertain inference control for balancing an inverted pendulum

Fuzzy Optimization and Decision Making ◽

10.1007/s10700-012-9124-y ◽

2012 ◽

Vol 11 (4) ◽

pp. 481-492 ◽

Cited By ~ 30

Author(s):

Yuan Gao

Keyword(s):

Inverted Pendulum ◽

Inference Control ◽

Uncertain Inference

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Parity-based Inference Control for Range Queries

Preserving Privacy in On-Line Analytical Processing (OLAP) - Advances in Information Security ◽

10.1007/978-0-387-46274-5_6 ◽

2007 ◽

pp. 91-117

Keyword(s):

Range Queries ◽

Inference Control

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Security-Constraint Processing for Inference Control

Database and Applications Security ◽

10.1201/9780203486061.ch13 ◽

2005 ◽

Keyword(s):

Inference Control ◽

Constraint Processing ◽

Security Constraint

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Coupling of Inference and Access Controls to Ensure Privacy Protection

International Journal of Safety and Security Engineering ◽

10.18280/ijsse.110504 ◽

2021 ◽

Vol 11 (5) ◽

pp. 529-535

Author(s):

Jihane El Mokhtari ◽

Anas Abou El Kalam ◽

Siham Benhaddou ◽

Jean-Philippe Leroy

Keyword(s):

Access Control ◽

Privacy Protection ◽

Multidimensional Analysis ◽

Sensitive Data ◽

Inference Control ◽

External Data ◽

Control Rules ◽

Access Controls ◽

Policy Information ◽

History Of

This article is devoted to the topic of coupling access and inference controls into security policies. The coupling of these two mechanisms is necessary to strengthen the protection of the privacy of complex systems users. Although the PrivOrBAC access control model covers several privacy protection requirements, the risk of inferring sensitive data may exist. Indeed, the accumulation of several pieces of data to which access is authorized can create an inference. This work proposes an inference control mechanism implemented through multidimensional analysis. This analysis will take into account several elements such as the history of access to the data that may create an inference, as well as their influence on the inference. The idea is that this mechanism delivers metrics that reflect the level of risk. These measures will be considered in the access control rules and will participate in the refusal or authorization decision with or without obligation. This is how the coupling of access and inference controls will be applied. The implementation of this coupling will be done via the multidimensional OLAP databases which will be requested by the Policy Information Point, the gateway brick of XACML to the various external data sources, which will route the inference measurements to the decision-making point.

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