This issue reminds us of the importance of considering human influence in technological design,‌ particularly for security and privacy
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IEEE Computer Society: Career Accelerator

APRIL 2025

Security & Privacy

This issue reminds us of the importance of considering human influence in technological design, particularly for security and privacy. This includes evaluating human behavior when developing security programs, acknowledging the impacts of human bias in algorithm and AI design, and humanizing data by remembering its origins.


Source: ComputingEdge April 2025 -- Subscribe to ComputingEdge

1

Leveraging the Human Factors Discipline for Better Cybersecurity Outcomes: A Roundtable Discussion

Three human factors experts get to the bottom of what the human factors discipline actually is, how the cybersecurity community and organizations can benefit from it, and how to create a pipeline of professionals with human factors and cybersecurity expertise.

2

Privacy Engineering From Principles to Practice: A Roadmap

Privacy engineering is gaining momentum in industry and academia alike. So far, manifold low-level primitives and higher-level methods and strategies have successfully been established. Still, fostering adoption in real-world information systems calls for additional aspects to be consciously considered in research and practice.

3

Everything You Need to Know About Non-Compete Agreements

A non-compete agreement prevents you from starting or working for a competing company after you leave a job. Most non-competes prohibit you from working for a specific time period, in a specific industry or role, in a specific geographic area.

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Videos

The New U.S. Cyber Disclosure Regime: Tell it Early, Tell it All, Tell it Yourself?

The New U.S. Cyber Disclosure Regime: Tell it Early, Tell it All, Tell it Yourself?


Watch the U.S. Cyber Disclosure Regime mandates reporting major cyber incidents within four days and detailing cybersecurity programs in Annual Reports. This session covers new regulations and offers compliance tips.

Privacy-Enhancing Person
Re-identification Framework – A Dual-Stage Approach

Privacy-Enhancing Person Re-identification Framework – A Dual-Stage Approach


This video shows deep learning-based re-identification (Re-ID) models encodes personally identifiable information in the learned features that may lead to serious privacy concerns. 

Additional Resources

Call for Papers: IEEE Transactions on Privacy General Submissions

IEEE Transactions on Privacy is now accepting submissions. Explore the wide range of topics being accepted and submit your paper via the IEEE Author Portal today.

Featured Jobs in our Career Center

Full-time Assistant/Associate/ Full Professors in in the Department of Computer Science and Information Engineering at Chang Gung University


Lecturer in Business Analytics or Innovation, Technology, and Operations at the Rady School of Management, University of California San Diego


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