Edward Chou
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Physical Unclonable Functions (PUFs) and Hardware Security
Papers in
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- Adversarial Robustness in Machine Learning 1
- Cryptography and Data Security 1
- Internet Traffic Analysis and Secure E-voting 1
- Machine Learning and Data Classification 1
- Co-authors
- Nikita Borisov (1 shared paper)Dan Boneh (1 shared paper)Florian Tramèr (1 shared paper)Giancarlo Pellegrino (1 shared paper)Anupam Das (1 shared paper)Marianne Winslett (1 shared paper)William P. King (1 shared paper)Thi Ngoc Tho Nguyen (1 shared paper)
- Journals
- Proceedings on Privacy Enhancing Technologies (1 paper)IDEALS (University of Illinois Urbana-Champaign) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesIsraelSingapore
In The Last Decade
Edward Chou
9 papers receiving 131 citations
Peers
Comparison fields: 5 of 39
- Signal Processing 45
- Hardware and Architecture 21
- Artificial Intelligence 75
- Computer Vision and Pattern Recognition 34
- Information Systems 32
Countries citing papers authored by Edward Chou
This map shows the geographic impact of Edward Chou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Edward Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Chou more than expected).
Fields of papers citing papers by Edward Chou
This network shows the impact of papers produced by Edward Chou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Edward Chou. The network helps show where Edward Chou may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Chou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 39 | |
| 2 | SentiNet: Detecting Physical Attacks Against Deep Learning Systems | 2018 | 33 |
| 3 | 2018 | 24 | |
| 4 | 2022 | 14 | |
| 5 | 2020 | 13 | |
| 6 | 3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities. | 2018 | 5 |
| 7 | 2003 | 3 | |
| 8 | The Price is Right: Predicting Prices with Product Images. | 2018 | 2 |
| 9 | Location Data and Geo-Indistinguishable Privacy Preserving Protocols | 2017 | 1 |
About Edward Chou
Edward Chou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Civil and Structural Engineering and Finance, having authored 9 papers that have together received 134 indexed citations. Recurring topics across this work include Spam and Phishing Detection (1 paper), Infrastructure Maintenance and Monitoring (1 paper), Adversarial Robustness in Machine Learning (1 paper), Cryptography and Data Security (1 paper), Forensic Fingerprint Detection Methods (1 paper), Internet Traffic Analysis and Secure E-voting (1 paper), Physical Unclonable Functions (PUFs) and Hardware Security (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Signal Processing (45 citations), Hardware and Architecture (21 citations), Artificial Intelligence (75 citations), Computer Vision and Pattern Recognition (34 citations) and Information Systems (32 citations). Edward Chou has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Nikita Borisov, Dan Boneh, Florian Tramèr, Giancarlo Pellegrino, Anupam Das, Marianne Winslett, William P. King, Thi Ngoc Tho Nguyen, Carl A. Gunter and Jack W. Stokes. Their work appears in journals such as Proceedings on Privacy Enhancing Technologies, IDEALS (University of Illinois Urbana-Champaign), Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.