Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Punto Poste 5.49 € Punto Poste 5.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 € Corriere Bartolini 4.49 € Punto Bartolini 3.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Adversary-Aware Learning Techniques and Trends in Cybersecurity

Name: Adversary-Aware Learning Techniques and Trends in Cybersecurity
Brand: Springer Nature Switzerland AG
SKU: 33591191
Price: 126.99 EUR
Availability: InStock
Author: Ranjeev Mittu
ISBN: 9783030556914

Ranjeev Mittu

Joseph B. Collins

Lingua

Inglese

Libro Rigido

Codice Libristo: 33591191

Casa editrice Springer Nature Switzerland AG, gennaio 2021

This book is intended to give researchers and practitioners in the cross-cutting fields of artificia... Descrizione completa

Codice Libristo: 33591191

311 b

126.99 €

Magazzino esterno Inviamo tra 10-13 giorni

Fino a 30 giorni per il reso

I clienti hanno acquistato anche

Schronisko, które zostało zapomniane Sławek Gortych

In brossura

9.79 €

Después de la noche José Antonio Zambrano

In brossura

10.49 €

Зов Ктулху Говард Лавкрафт

Rigido

21.19 €

Der goldne Hahn - ein Märchen Nikolay Rimsky-Korsakov

In brossura

13.29 €

Kein Horizont zu weit (Tales of Sylt, Band 1) Loewe Jugendbücher

In brossura

12.59 €

Omalovánky pro holky Návrhářka nemá autora

In brossura

2.79 €

Bedeutung der Grundrechte fur das Bildungssystem in der Bundesrepublik Deutschland Thorsten Lemmer

In brossura

14.09 €

Carlo Acutis. Una vita in versi Francesco Polopoli

Libro

26.19 €

Spirytystka Czornyj Max

Audiolibro

7.09 €

Das bedürfnisbasierte Modell der Versöhnung. Zusammenhang von situationaler Empathie und Versöhnungsbereitschaft bei Opfern und Tätern

In brossura

25.69 €

Ako funguje naše telo autorov Kolektív

Rigido

8.29 €

Vortrag des Erzherzog Johann und die Kritik Anonymus

In brossura

10.19 €

Paluszkowo Znajdź i dotknij Justyna Tkocz

Rigido

2.59 €

Je sais cuisiner (Ed.2024) Ginette Mathiot

Rigido

19.39 €

adorabili. I divi di Hollywood raccontati dalla giovane Oriana Oriana Fallaci

In brossura

12.35 €

Old money. Jak żyć lepiej wydając mniej. Księga tajemnic amerykańskich Byron Tully Libro

Rigido

21.79 €

Traite Pratique Des Douanes. Annee 1863 DELANDRE-A

In brossura

11.49 €

La Ressource Dans Les Musiques Actuelles Caurel-Y

In brossura

67.49 €

Christian Gotthilf Salzmann - Sein Leben und Wirken bis zum Weggang aus Erfurt im Mai 1781 Anette Müller

In brossura

14.09 €

Galerie Alfred Thieme In Leipzig (1900) Wilhelm Bode

Rigido

38.69 €

Syrie En 1861. Condition Des Chretiens En Orient Saint-Marc Girardin

In brossura

24.89 €

Język polski ćwiczenia dla klasy 7 między nami część 1 wersja a szkoła podstawowa Agnieszka Łuczak

In brossura

4.09 €

Como escribir exitosamente textos academicos Sonia Verónica Bustamante Medina

In brossura

38.19 €

BABADADA black-and-white, Romană - Belarusian (in cyrillic script), lexicon vizual - visual dictionary (in cyrillic script) Babadada Gmbh

In brossura

5.99 €

This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner.