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The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)
From Communications of the ACM

The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)

Differential privacy is not a silver bullet for all privacy problems.

Why Computing Students Should Contribute to Open Source Software Projects
From Communications of the ACM

Why Computing Students Should Contribute to Open Source Software Projects

Acquiring developer-prized practical skills, knowledge, and experiences.

The 2021 Software Developer Shortage Is Coming
From Communications of the ACM

The 2021 Software Developer Shortage Is Coming

Companies must address the difficulty of hiring and retaining high-skilled employees from an increasingly smaller labor supply.

Collusion Rings Threaten the Integrity of Computer Science Research
From Communications of the ACM

Collusion Rings Threaten the Integrity of Computer Science Research

Experiences discovering attempts to subvert the peer-review process.

A Vision to Compute like Nature
From Communications of the ACM

A Vision to Compute like Nature: Thermodynamically

Advocating a new, physically grounded, computational paradigm centered on thermodynamics and an emerging understanding of using thermodynamics to solve problems...

Locality and Professional Life
From Communications of the ACM

Locality and Professional Life

The locality principle extends beyond computer memories. It teaches us something about being human.

Aversion to Versions
From Communications of the ACM

Aversion to Versions

Code needs to run anywhere as long as the necessary dependencies can be resolved.

The Risks of Election Believability (or Lack Thereof)
From Communications of the ACM

The Risks of Election Believability (or Lack Thereof)

With 90% of the 2020 U.S. general election ballot contents verifiable by paper, why do only 65% of voters trust the results?
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