Matt Fredrikson
Impact in
- Artificial Intelligence top 0.1%
- Adversarial Robustness in Machine Learning
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Signal Processing top 0.2%
- Advanced Malware Detection Techniques
Papers in
-
- Advanced Malware Detection Techniques 19
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- Adversarial Robustness in Machine Learning 18
- Privacy-Preserving Technologies in Data 8
- Security and Verification in Computing 7
- Explainable Artificial Intelligence (XAI) 7
- Co-authors
- Somesh Jha (15 shared papers)Thomas Ristenpart (3 shared papers)Patrick Drew McDaniel (1 shared paper)Nicolas Papernot (1 shared paper)Ananthram Swami (1 shared paper)Samuel Yeom (4 shared papers)Irene Giacomelli (2 shared papers)Benjamin Livshits (4 shared papers)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2 papers)Journal of Computer Security (1 paper)Proceedings of the VLDB Endowment (1 paper)IEEE Access (1 paper)Computers & Security (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Matt Fredrikson
49 papers receiving 6.4k citations
Matt Fredrikson's Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 5.5k
- Signal Processing 1.6k
- Health Informatics 159
- Software 214
- Computer Vision and Pattern Recognition 982
Countries citing papers authored by Matt Fredrikson
This map shows the geographic impact of Matt Fredrikson'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 Matt Fredrikson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Fredrikson more than expected).
Fields of papers citing papers by Matt Fredrikson
This network shows the impact of papers produced by Matt Fredrikson. 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 Matt Fredrikson. The network helps show where Matt Fredrikson may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Fredrikson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Limitations of Deep Learning in Adversarial Settings Hit paper breakdown → | 2016 | 2541 |
| 2 | Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures Hit paper breakdown → | 2015 | 1890 |
| 3 | Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting Hit paper breakdown → | 2018 | 586 |
| 4 | Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing. Hit paper breakdown → | 2014 | 377 |
| 5 | 2010 | 161 | |
| 6 | 2016 | 109 | |
| 7 | 2009 | 106 | |
| 8 | 2011 | 92 | |
| 9 | 2008 | 91 | |
| 10 | On the practical exploitability of Dual EC in TLS implementations | 2014 | 77 |
| 11 | 2011 | 57 | |
| 12 | 2009 | 48 | |
| 13 | 2017 | 46 | |
| 14 | 2018 | 34 | |
| 15 | 2017 | 32 | |
| 16 | 2018 | 31 | |
| 17 | RePriv: Re-Envisioning In-Browser Privacy | 2011 | 30 |
| 18 | 2019 | 26 | |
| 19 | Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference | 2020 | 25 |
| 20 | 2011 | 22 |
About Matt Fredrikson
Matt Fredrikson is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Software and Computer Networks and Communications, having authored 51 papers that have together received 6.6k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (19 papers), Adversarial Robustness in Machine Learning (18 papers), Privacy-Preserving Technologies in Data (8 papers), Security and Verification in Computing (7 papers), Explainable Artificial Intelligence (XAI) (7 papers), Privacy, Security, and Data Protection (6 papers), Network Security and Intrusion Detection (6 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (5.5k citations), Signal Processing (1.6k citations), Health Informatics (159 citations), Software (214 citations) and Computer Vision and Pattern Recognition (982 citations). Matt Fredrikson has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Somesh Jha, Thomas Ristenpart, Patrick Drew McDaniel, Nicolas Papernot, Ananthram Swami, Samuel Yeom, Irene Giacomelli, Benjamin Livshits, Éric Lantz and David Page. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Journal of Computer Security, Proceedings of the VLDB Endowment, IEEE Access and Computers & Security.
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.