LabCompass

Chenghong Wang

Computer Science · Indiana University

OpenAlex ORCID
Privacy-Preserving Technologies in DataCryptography and Data SecurityMeningioma and schwannoma managementAdversarial Robustness in Machine LearningBlockchain Technology Applications and Security

Publications

84

Citations

535

Est. group size

—

Recurring co-author estimate

Active years

25

Publishing since 2002

Research summary
AI-generated

Chenghong Wang works on privacy-preserving computing, developing systems that let data be analyzed or used to train machine learning models without exposing the underlying private information. This includes methods such as secure multi-party computation, differential privacy, encrypted (homomorphic) inference, and formally verified enforcement of data-use policies. Note that the provided publication list appears to mix in work from unrelated fields (e.g., medical imaging, quantum physics, and folk music), so the core computer science focus is on secure and private data analytics.

Privacy-preserving machine learningSecure multi-party computationDifferential privacyEncrypted/oblivious data systemsCryptography and data security

Publication activity has been variable across the decade, with peak years around 2019-2020 and a moderate, steady output of roughly 6-7 papers per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 6.6/year recently
2017: 3 publications172018: 2 publications182019: 15 publications15192020: 15 publications15202021: 6 publications212022: 10 publications222023: 12 publications232024: 4 publications242025: 6 publications252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×17
  • PLoS ONE×4
  • World Neurosurgery×3
  • Journal of Clinical Neuroscience×3
  • Clinical Neurology and Neurosurgery×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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