Adversarial AI and Data Poisoning in Federated Learning

Author:   Vipul Jain ,  Shikha Khullar ,  Manju Lata Joshi ,  Deepak Kumar Jain
Publisher:   IGI Global
ISBN:  

9798337362250


Pages:   574
Publication Date:   20 February 2026
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $554.40 Quantity:  
Add to Cart

Share |

Adversarial AI and Data Poisoning in Federated Learning


Overview

Full Product Details

Author:   Vipul Jain ,  Shikha Khullar ,  Manju Lata Joshi ,  Deepak Kumar Jain
Publisher:   IGI Global
Imprint:   Engineering Science Reference
ISBN:  

9798337362250


Pages:   574
Publication Date:   20 February 2026
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Reviews

Author Information

Dr. Shikha Khullar is an accomplished academic and researcher with a Ph.D. in Data Mining and Artificial Intelligence. She currently serves as an Associate Professor at Poornima University, where she is recognized for her dedication to academic excellence and her dynamic involvement in radical research. With a deep-rooted passion for innovation and discovery, Dr. Khullar actively engages in interdisciplinary research that bridges technology and real-world applications, particularly in areas such as intelligent systems, smart data analytics, and sustainable digital solutions. Her work is characterized by a forward-thinking approach, where she not only explores theoretical models but also contributes to practical implementations that address pressing societal and industrial challenges. At Poornima University, she has been instrumental in mentoring young minds, guiding Ph.D. scholars, and contributing to curriculum development in emerging areas such as Artificial Intelligence, Blockchain, and Smart Agriculture Technologies. She is the member of IAENG and ERDA. Dr. Manju Lata Joshi holds an M.Tech. and a Doctorate in Computer Science from Banasthali Vidyapith. My current research interests encompass Artificial Intelligence, Natural Language Processing, Information Retrieval, and Text Mining. With over 17 years of experience in teaching and research, I have published numerous research papers in prestigious journals indexed in the Science Citation Index (SCI) and Scopus, both nationally and internationally. Furthermore, I serve on the review and advisory committees of several refereed journals and conferences.

Tab Content 6

Author Website:  

Countries Available

All regions
Latest Reading Guide

MRG 26 2

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List