Efficient, context-sensitive detection of real-world semantic attacks

Author(s):  
Michael D. Bond ◽  
Varun Srivastava ◽  
Kathryn S. McKinley ◽  
Vitaly Shmatikov
2014 ◽  
Vol 25 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Martin Peper ◽  
Simone N. Loeffler

Current ambulatory technologies are highly relevant for neuropsychological assessment and treatment as they provide a gateway to real life data. Ambulatory assessment of cognitive complaints, skills and emotional states in natural contexts provides information that has a greater ecological validity than traditional assessment approaches. This issue presents an overview of current technological and methodological innovations, opportunities, problems and limitations of these methods designed for the context-sensitive measurement of cognitive, emotional and behavioral function. The usefulness of selected ambulatory approaches is demonstrated and their relevance for an ecologically valid neuropsychology is highlighted.


Just Words ◽  
2019 ◽  
pp. 124-155
Author(s):  
Mary Kate McGowan

This chapter uses the framework of covert exercitives to explore potential harms of actions involving certain types of pornography. The sorts of pornography of interest are clarified and the pornographic is shown to be context sensitive. This chapter focuses on the harms of subordination and silencing. Langton’s account of the subordinating force of pornography is critically assessed. An alternative model, relying on the covert exercitive, is presented and its advantages are illustrated using real world examples from the law. Various kinds of silencing are identified, the speech act of refusal is clarified, and both causal and constitutive connections between actions involving pornography, on the one hand, and the harms of subordination and silencing, on the other, are here discussed.


Robotica ◽  
1990 ◽  
Vol 8 (2) ◽  
pp. 159-165 ◽  
Author(s):  
Dong Woo Cho

SummaryRecent development of sensor knowledge representation by the use of a certainty grid has been extensive and shown the usefulness of the grid-based concept for robot navigation.Yet the methodology was not perfect. This paper introduces the Bayesian formula into the certainty grid representation to overcome some difficulties of ad hoc formula that has been the only way of updating the grids. The complete derivation of the proposed updating formula is given and proved to be able to accurately identify the simulated world. Also, the paper suggests two updating models: context-sensitive and context-free. Both of them were shown to be usable through simulation in real world modeling.


2015 ◽  
Vol 6 (1) ◽  
pp. 2-27 ◽  
Author(s):  
Ben Pin-Yun Wang ◽  
Lily I-wen Su

The present study sets out to construct a semantic network for -kai in Chinese resultative verbs based on the framework of Principled Polysemy. Our analysis concerning the cognitive-pragmatic motivations for the meaning extensions of postverbal -kai pinpoints the significance of perspective-taking and real-world force dynamics in the conceptual structure of Chinese resultative verbs. With the aid of corpus data, we further demonstrate how pertinent textual cues help to disambiguate polysemous V-kai complex verbs and evoke metaphorical readings of the gestalt V–V constructions, hinting at the distributed and context-sensitive nature of the meaning construction of Chinese resultative verbs.


2013 ◽  
Vol 3 (4) ◽  
pp. 1-24 ◽  
Author(s):  
Nargis Pervin ◽  
Fang Fang ◽  
Anindya Datta ◽  
Kaushik Dutta ◽  
Debra Vandermeer

Author(s):  
Anika Graupner ◽  
Daniel Nüst

As the amount of sensor data made available online increases, it becomes more difficult for users to identify useful datasets. Semantic web technologies improve discovery with meaningful ontologies, but the decision of suitability remains with the users. The GEO label provides a visual summary of the standardised metadata to aid users in this process. This work presents novel rules for deriving the information for the GEO label's multiple facets, such as user feedback or quality information, based on the Semantic Sensor Network Ontology and related ontologies. It enhances an existing implementation of the GEO label API to generate labels for resources of the Semantic Sensor Web. The prototype is deployed to serverless cloud infrastructures. We find that serverless GEO label generation is capable of handling two evaluation scenarios for concurrent users and burst generation. More real-world semantic sensor descriptions and an integration into large scale discovery platforms are needed to develop the presented solutions further.


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