What is he best known for?
The fields of study he is best known for:
- The Internet
- Operating system
- Computer security
His primary areas of investigation include Computer security, Cryptography, The Internet, Anonymity and Computer network.
His Computer security study frequently links to other fields, such as Ubiquitous computing.
His Ubiquitous computing research is multidisciplinary, incorporating perspectives in Patient safety, Communications protocol, Software-defined radio, Software and Occupational safety and health.
Tadayoshi Kohno interconnects Hash table, Embedded system and Internet privacy in the investigation of issues within Cryptography.
His research integrates issues of Firewall, Multimedia and Honeypot in his study of The Internet.
His study in Anonymity is interdisciplinary in nature, drawing from both Consistency and Random oracle, Encryption, Public-key cryptography.
His most cited work include:
- Experimental Security Analysis of a Modern Automobile (1159 citations)
- Comprehensive experimental analyses of automotive attack surfaces (866 citations)
- Robust Physical-World Attacks on Deep Learning Visual Classification (625 citations)
What are the main themes of his work throughout his whole career to date?
Tadayoshi Kohno mainly focuses on Computer security, Internet privacy, Cryptography, Encryption and Computer network.
His Computer security research is multidisciplinary, relying on both Wireless and Cloud computing security.
In general Internet privacy study, his work on Information privacy often relates to the realm of Work and Contact tracing, thereby connecting several areas of interest.
Cryptography connects with themes related to Embedded system in his study.
Hash function is closely connected to Theoretical computer science in his research, which is encompassed under the umbrella topic of Encryption.
In his research, Cryptographic protocol and SSH File Transfer Protocol is intimately related to Secure Shell, which falls under the overarching field of Authenticated encryption.
He most often published in these fields:
- Computer security (48.89%)
- Internet privacy (18.22%)
- Cryptography (12.00%)
What were the highlights of his more recent work (between 2016-2021)?
- Internet privacy (18.22%)
- Computer security (48.89%)
- Artificial intelligence (5.78%)
In recent papers he was focusing on the following fields of study:
Tadayoshi Kohno mostly deals with Internet privacy, Computer security, Artificial intelligence, Adversarial system and Augmented reality.
His Internet privacy study combines topics from a wide range of disciplines, such as Online advertising and The Internet.
Computer security is closely attributed to Best practice in his research.
His work on Deep learning as part of general Artificial intelligence study is frequently connected to Stop sign, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His work deals with themes such as Information leakage and World Wide Web, which intersect with Adversarial system.
His Augmented reality research includes elements of Immersion, Multi-user and Key.
Between 2016 and 2021, his most popular works were:
- Robust Physical-World Attacks on Deep Learning Visual Classification (625 citations)
- Robust Physical-World Attacks on Deep Learning Models (333 citations)
- Robust Physical-World Attacks on Machine Learning Models. (143 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Operating system
- Computer network
Artificial intelligence, Adversarial system, Internet privacy, Machine learning and Deep learning are his primary areas of study.
His Artificial intelligence study frequently links to related topics such as Detector.
His studies in Detector integrate themes in fields like Object and Computer vision.
His Adversarial system research incorporates elements of Information sensitivity, Information leakage, Robustness and Big data.
Tadayoshi Kohno combines subjects such as World Wide Web and Web content with his study of Internet privacy.
Machine learning is closely attributed to Classifier in his study.
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