Research output per year
Research output per year
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Dive into the research topics where Cybersecurity and Digital Forensics, Center for (CDF) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Gail-Joon Ahn
- Information Assurance Center (IA) - Professor
- Assured and Scalable Data Engineering, Center for (CASCADE) - Professor
- Computer Science and Engineering - Professor
- Cybersecurity and Digital Forensics, Center for (CDF) - Professor
- Engineering, Ira A. Fulton Schools of (IAFSE) - Professor
- LightWorks - Professor
Person
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Tiffany Bao
- Computer Science and Engineering - Assistant Professor
- Cybersecurity and Digital Forensics, Center for (CDF) - Assistant Professor
- Engineering, Ira A. Fulton Schools of (IAFSE) - Assistant Professor
Person
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Chitta Baral
- Computer Science and Engineering - Professor
- Cybersecurity and Digital Forensics, Center for (CDF) - Professor
- Engineering, Ira A. Fulton Schools of (IAFSE) - Professor
- Assured and Scalable Data Engineering, Center for (CASCADE) - Professor
- Global Futures Laboratory, Julie Ann Wrigley (GFL) - Professor
- Knowledge Enterprise (KE) - Professor
Person
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Efficient and Secure Federated Learning with Verifiable Weighted Average Aggregation
Yang, Z., Zhou, M., Yu, H., Sinnott, R. O. & Liu, H., Jan 1 2023, In: IEEE Transactions on Network Science and Engineering. 10, 1, p. 205-222 18 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Acquiring Mental Models for Explanations
Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 81-94 14 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Applications
Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 137-146 10 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Next Generation Machine Learning Platform for Advanced Vulnerability Analysis and Reverse Engineering
Bao, T., Doupé, A. & Shoshitaishvili, Y.
DOD-ARMY-ARL: Army Research Office (ARO)
2/1/23 → 1/31/24
Project: Research project
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Datasets
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Data from: samc: An R package for connectivity modeling with spatial absorbing Markov chains
Marx, A. (Creator), Wang, C. (Creator), Sefair, J. (Creator), Acevedo, M. (Creator) & Fletcher, R. (Creator), DRYAD, Dec 26 2019
DOI: 10.5061/dryad.0k6djh9wk, https://datadryad.org/stash/dataset/doi:10.5061/dryad.0k6djh9wk
Dataset
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Data from: samc: An R package for connectivity modeling with spatial absorbing Markov chains
Marx, A. (Contributor), Wang, C. (Contributor), Sefair, J. (Contributor), Acevedo, M. (Contributor) & Fletcher, R. (Contributor), Zenodo, Dec 26 2019
DOI: 10.5061/dryad.0k6djh9wk, https://zenodo.org/record/4954653
Dataset
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Route assignment and scheduling with trajectory coordination
Matin-Moghaddam, N. (Contributor) & Sefair, J. A. (Contributor), figshare Academic Research System, Jan 1 2020
DOI: 10.6084/m9.figshare.12848820.v1, https://doi.org/10.6084%2Fm9.figshare.12848820.v1
Dataset