• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • IEEE.org
  • IEEE Xplore
  • IEEE Standards
  • IEEE Spectrum
  • More Sites

IEEE Potentials Magazine

The magazine for high-tech innovators

  • Home
  • Theme
    • Features
    • Columns/Departments
  • About Us
  • Contact
  • Associated Links
    • Potentials at IEEE Students
    • Potentials Media Guide
  • Highlighted Articles
  • Call For Papers
  • Recent Issues
    • Nov/Dec 2025
    • Sept/Oct 2025
    • July/Aug 2025
    • May/June 2025
    • March/April 2025
    • Jan/Feb 2025

Social networking (online)

Mitigating manipulation in generative AI

December 27, 2024 by Yanyi Wu

In an era where generative artificial intelligence (GAI) can compose symphonies and generate news articles with equal facility, the boundary between creation and manipulation becomes increasingly nebulous. This article discusses the fascinating and risky field of GAI and explores its potential to manipulate through deepfake videos and AI-generated text. Rather than presenting a … [Read more...] about Mitigating manipulation in generative AI

Decentralized identifiers

November 7, 2023 by Tamara Bonaci

Today, most of us have more accounts with corresponding usernames and passwords than we can count. Online banking, shopping, streaming, and social media, among other things, require the user to authenticate, or prove, their identity to utilize the provided service. Keeping track of a multitude of accounts becomes burdensome, and many of us turn toward the usage of weak or … [Read more...] about Decentralized identifiers

It looks like me, but it isn’t me: On the societal implications of deepfakes

September 8, 2023 by Tamara Bonaci

Deepfakes are images or videos generated using deep learning technology to change the original conditions of a piece of media. Potential uses of this technology range from satirical content, depicting public figures in comical scenarios; to generating audio to mimic a specific voice; to inserting the face of an unknowing individual into potentially embarrassing content, for … [Read more...] about It looks like me, but it isn’t me: On the societal implications of deepfakes

How to Market to Generation Z on Social Media

September 8, 2023 by

Social media can be an effective medium to reach Generation Z (Gen Z) and advertise science, technology, engineering, and mathematics (STEM) programs. Creating viral content on social media is all about starting a trend and attracting user-generated content. One successful content can nudge millions of user-generated content and generate billions of views. For more … [Read more...] about How to Market to Generation Z on Social Media

Primary Sidebar

Current Issue

Get the entire issue now.

About the Magazine

IEEE Potentials Magazine is the publication dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology’s global impact, and generates international forums that foster the sharing of diverse ideas about the profession.

POPULAR ARTICLE

Privacy-preserving distributed learning: Techniques, applications, and future challenges

The rapid increase in data generated by connected devices has created a pressing need for privacy-preserving techniques in distributed learning. This article examines methods that enable collaborative machine learning (ML) while maintaining data security and user privacy. Key approaches such as federated learning (FL), differential privacy (DP), secure multiparty computation (SMPC), and homomorphic encryption (HE) are analyzed for their unique capabilities and various applications. FL facilitates model training across decentralized data sources, ensuring data remain local, while DP mitigates privacy risks by adding controlled noise. SMPC and HE support secure computations on encrypted data, maintaining confidentiality during processing. Despite their effectiveness, these techniques face challenges related to computational complexity, scalability, and regulatory compliance. The article reviews current advancements, practical implementations, and future directions, emphasizing the need for optimized, accessible solutions to enhance data security in distributed systems.

Read More…

Search

Past Issues

Footer

IEEE Potentials Magazine is a member benefit for IEEE Student members.

The magazine is archived in IEEE Xplore, and articles from all issues are available for download.

Home | Sitemap | Contact & Support | Accessibility | Nondiscrimination Policy | IEEE Ethics Reporting | IEEE Privacy Policy | Terms

© Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.