Inbunden, Engelska, 2027

The Dark Side of AI

Privacy Invasions and Data Vulnerabilities

Av Md Imran Hussain, Syed Rameem Zahra, Ankur Gupta

1857 kr

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Beskrivning

Artificial Intelligence (AI) is transforming how data is collected, processed, analysed, and used across society, creating significant opportunities while introducing new risks to privacy, security, safety, and trust. This volume examines these challenges from technical, ethical, social, and regulatory perspectives.The book explores the AI–privacy paradox, deceptive AI-driven design and data exploitation, AI-enabled cyberattacks, adversarial threats, deepfakes, cryptanalysis, facial recognition, biometric security, and privacy risks in intelligent learning and smart-device environments. It also addresses emerging concerns surrounding generative AI in healthcare and mental health, including bias, hallucinations, sensitive-data protection, and responsible deployment.Alongside these challenges, the book presents approaches for building more secure and privacy-conscious AI systems, including federated learning, differential privacy, secure multiparty computation, homomorphic encryption, privacy-by-design, privacy-preserving architectures, adversarial robustness, and user-centric data governance.Bringing together diverse perspectives on the evolving risks and safeguards of AI, this edited volume provides a valuable reference for researchers, graduate students, AI and cybersecurity professionals, policymakers, and practitioners seeking to understand the privacy and security implications of AI and develop responsible, transparent, and trustworthy intelligent systems.

Produktinformation

Utgivningsdatum: 2027-01-14
Mått: 156 x 234 x undefined mm
Format: Inbunden
Språk: Engelska
Antal sidor: 338
Förlag: Taylor & Francis Ltd
ISBN: 9781041044383

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Mer om författaren

Md Imran Hussain is pursuing his Ph.D. in Computer Science and Engineering at Netaji Subhas University of Technology (NSUT), New Delhi, India. He has B.Tech. in computer science and engineering (CSE) from the Bengal Institute of Technology & Management, Santiniketan, India, and the M.Tech. in computer science and engineering from Pondicherry University, Pondicherry, India. He is a recipient of the Japan Science and Technology Agency (JST) Fellowship and has worked as a Young Researcher at Nagoya University, Japan. He was also awarded the Fatima Al-Fihri Predoctoral Fellowship. In addition to his academic research, he was selected for the Research Internship, supported by the Ministry of Economy, Trade and Industry (METI), Japan, 2025, and gained industrial R&D experience as a Research Intern at Mitsubishi Electric Corporation, R&D Headquarters, Japan. He has published research articles in reputed journals (indexed by Scopus and SCI). His research areas include Intelligent Transportation Systems, Machine Learning, and Cyber Security.Syed Rameem Zahra has a Ph.D. from National Institute of Technology Srinagar and a Postdoc from the Indian Institute of Technology Delhi. She has a B.Tech. in computer science and engineering from the University of Kashmir, Srinagar, India, a M.Tech. in computer science and engineering from SMVDU, Katra, India. She is a gold medallist at both graduate and post-graduate levels. Presently she is an Assistant Professor at the Centre of Artificial Intelligence and Machine Learning, Sher-e-Kashmir University of Agricultural Sciences and Technology (SKUAST), Srinagar, India. She has published more than 25 research articles in Scopus and SCI indexed journals and conferences (Scopus-indexed). She has been facilitated with a Certificate of Appreciation by the Ministry of Human Resource Development, Government of India for her academic excellence. She has been guiding Ph.D., M.Tech., and B.Tech. research projects and her research area includes IoT, Cyber Security, 5G Security, ITS Security, Information Security, Cyber Defense, and Wireless Networks Routing.Ankur Gupta is an Assistant Professor in the Department of Computer Science & Engineering at Netaji Subhas University of Technology, New Delhi, India. He earned his Ph.D. from Indian Institute of Technology Roorkee. His research interests span artificial intelligence, machine learning, deep learning, medical imaging, lab-on-a-chip systems, microfluidic biochips, computer vision, and intelligent transportation systems. He is a Visiting Researcher at the University of Oulu, Finland, and a Visiting Scientist at Ritsumeikan University, Japan, fostering international collaborations in AI-driven healthcare and lab-on-a-chip. He has also led national and international funded research projects supported by DST, SERB, and the India–Japan DST–JSPS collaborative programme. He has authored numerous publications in leading peer-reviewed journals and core conferences. His scholarly contributions have received international recognition, including awards in the MICCAI BraTS Challenges, and CVIP MISAHUB Capsule Vision Challenge. He is a Senior Member of IEEE, a Professional Member of ACM, and a Senior Individual Member of INAE.

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