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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.
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Profiles
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Gail-Joon Ahn
- Arizona State University, Information Assurance Center (IA) - Professor
- Arizona State University, Assured and Scalable Data Engineering, Center for (CASCADE) - Professor
- Arizona State University, Computer Science and Engineering - Professor
- Arizona State University, Cybersecurity and Digital Forensics, Center for (CDF) - Professor
- Arizona State University, Engineering, Ira A. Fulton Schools of (IAFSE) - Professor
- Arizona State University, LightWorks - Professor
Person
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Tiffany Bao
- Arizona State University, Computer Science and Engineering - Assistant Professor
- Arizona State University, Cybersecurity and Digital Forensics, Center for (CDF) - Assistant Professor
- Arizona State University, Engineering, Ira A. Fulton Schools of (IAFSE) - Assistant Professor
Person
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Chitta Baral
- Arizona State University, Computer Science and Engineering - Professor
- Arizona State University, Cybersecurity and Digital Forensics, Center for (CDF) - Professor
- Arizona State University, Engineering, Ira A. Fulton Schools of (IAFSE) - Professor
- Arizona State University, Assured and Scalable Data Engineering, Center for (CASCADE) - Professor
- Arizona State University, Global Futures Laboratory, Julie Ann Wrigley (GFL) - Professor
- Arizona State University, Knowledge Enterprise (KE) - Professor
Person
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Shining Light on Occluded Vulnerabilities
DOD-DARPA: Defense Sciences Office (DSO)
8/30/22 → 8/29/24
Project: Research project
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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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A Progressive Approximation Approach for the Exact Solution of Sparse Large-Scale Binary Interdiction Games
Contardo, C. & Sefair, J. A., Mar 2022, In: INFORMS Journal on Computing. 34, 2, p. 890-908 19 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Press/Media
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U.S. Patents Awarded to Inventors in Arizona (June 20)
Sidney Hecht, Huan Liu & David Smith
6/20/22
1 item of Media coverage
Press/Media: Press / Media
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Stanford's Proposal Over AI's 'Foundations' Creates Controversy
9/20/21
1 item of Media coverage
Press/Media: Press / Media
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A Stanford proposal over AI’s ‘foundations’ ignites debate
9/15/21
1 item of Media coverage
Press/Media: Press / Media