1,720,954 research outputs found
Prevention of cyber attacks based on the exploitation of linguistic models in the context of artificial intelligence
Fişierul ataşat conţine: Rezumat, Abstract, Contents, Introduction, References.Progresul rapid al inteligenței artificiale (AI) și integrarea sa pe scară largă în diverse platforme digitale au dus la o creștere a riscului de atacuri cibernetice sofisticate, în special a celor care exploatează modele lingvistice. Această lucrare prezintă o analiză cuprinzătoare a vulnerabilităților inerente modelelor lingvistice actuale bazate pe inteligență artificială și propune un cadru nou pentru atenuarea acestor riscuri. Începem prin a examina tipurile de amenințări cibernetice care exploatează nuanțele procesării limbajului natural, cum ar fi manipularea contextului, otrăvirea modelului și atacurile de inferență a datelor. Apoi explorăm limitările măsurilor de securitate existente în contracararea acestor amenințări. Demonstrăm eficiența diferitelor abordări printr-o serie de simulări și studii de caz din lumea reală, demonstrând o reducere semnificativă a atacurilor cibernetice reușite. Această cercetare contribuie la acest domeniu prin furnizarea de soluții practice pentru consolidarea securității sistemelor bazate pe IA împotriva exploatării modelelor lingvistice, asigurând astfel o utilizare mai sigură și mai fiabilă a IA în diverse aplicații.The rapid advancement of artificial intelligence (AI) and its widespread integration into various digital platforms have led to an increased risk of sophisticated cyber attacks, especially those exploiting linguistic models. This paper presents a comprehensive analysis of the vulnerabilities inherent in current AI-based linguistic models and proposes a novel framework for mitigating these risks. We begin by examining the types of cyber threats that exploit the nuances of natural language processing, such as context manipulation, model poisoning, and data inference attacks. We then explore the limitations of existing security measures in countering these threats. We demonstrate the effectiveness of different approaches athrough a series of simulations and real-world case studies, showing a significant reduction in successful cyber attacks. This research contributes to the field by providing practical solutions for bolstering the security of AI-driven systems against linguistic model exploitation, thus ensuring safer and more reliable use of AI in various applications
Navigarea la intersecția dintre tehnologiile emergente, analiza avansată a datelor și securitatea cibernetică: strategii pentru era digitală
Acest document prezintă o imagine de ansamblu a provocărilor și strategiilor de navigare la intersecția dintre tehnologiile emergente, analiza avansată a datelor și securitatea cibernetică. Discutăm despre amenințările cibernetice din ce în ce mai sofisticate și despre proliferarea dispozitivelor conectate care creează vulnerabilități în era digitală. Subliniem deficitul de profesioniști calificați în domeniul securității cibernetice și necesitatea unei guvernanțe și reglementări eficiente pentru a asigura protecția datelor și a vieții private. Pentru a aborda aceste provocări, propunem o abordare cu mai multe fațete care implică o combinație de soluții tehnice, politici și programe de educație și formare. Analiza noastră se bazează pe o gamă variată de surse din literatura de specialitate, inclusiv Ghidul practicianului în domeniul securității cibernetice, Extinderea speranței de sănătate, Cartografierea valului de digitalizare a industriei și Guvernanța globală a științei și tehnologiei, printre altele. Constatările noastre sugerează că strategiile eficiente în materie de securitate cibernetică necesită o abordare holistică care să cuprindă atât aspecte tehnice, cât și non-tehnice, și că colaborarea dintre mediul academic, industrie și guvern este crucială pentru a aborda provocările complexe ale erei digitale
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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