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 0.5%
- Advanced Malware Detection Techniques
Papers in
-
- Adversarial Robustness in Machine Learning 16
- Privacy-Preserving Technologies in Data 8
- Security and Verification in Computing 6
- Explainable Artificial Intelligence (XAI) 6
- Cryptography and Data Security 4
-
- Advanced Malware Detection Techniques 14
- Co-authors
- Somesh Jha (10 shared papers)Thomas Ristenpart (3 shared papers)Ananthram Swami (1 shared paper)Patrick McDaniel (1 shared paper)Z. Berkay Celik (1 shared paper)Nicolas Papernot (1 shared paper)Samuel Yeom (5 shared papers)Irene Giacomelli (2 shared papers)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2 papers)Proceedings of the VLDB Endowment (1 paper)Computers & Security (1 paper)Journal of Computer Security (1 paper)IEEE Access (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Matt Fredrikson
39 papers receiving 4.9k citations
Matt Fredrikson's Hit Papers
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 4.4k
- Signal Processing 1.2k
- Health Informatics 140
- Software 157
- Computer Vision and Pattern Recognition 803
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 42 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 | 2042 |
| 2 | Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures Hit paper breakdown → | 2015 | 1506 |
| 3 | Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting Hit paper breakdown → | 2018 | 457 |
| 4 | Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing. Hit paper breakdown → | 2014 | 313 |
| 5 | 2010 | 138 | |
| 6 | 2016 | 94 | |
| 7 | 2011 | 73 | |
| 8 | 2011 | 48 | |
| 9 | 2017 | 39 | |
| 10 | 2009 | 39 | |
| 11 | On the practical exploitability of dual EC in TLS implementations | 2014 | 35 |
| 12 | 2017 | 32 | |
| 13 | RePriv: Re-Envisioning In-Browser Privacy | 2011 | 27 |
| 14 | 2018 | 27 | |
| 15 | 2018 | 25 | |
| 16 | Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference | 2020 | 21 |
| 17 | 2014 | 20 | |
| 18 | 2013 | 19 | |
| 19 | 2019 | 19 | |
| 20 | ZØ: an optimizing distributing zero-knowledge compiler | 2014 | 12 |
About Matt Fredrikson
Matt Fredrikson is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Sociology and Political Science and Computer Networks and Communications, having authored 42 papers that have together received 5.1k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (16 papers), Advanced Malware Detection Techniques (14 papers), Privacy-Preserving Technologies in Data (8 papers), Security and Verification in Computing (6 papers), Privacy, Security, and Data Protection (6 papers), Explainable Artificial Intelligence (XAI) (6 papers), Cryptography and Data Security (4 papers) and Ethics and Social Impacts of AI (4 papers). The work is most often cited by research in Artificial Intelligence (4.4k citations), Signal Processing (1.2k citations), Health Informatics (140 citations), Software (157 citations) and Computer Vision and Pattern Recognition (803 citations). Matt Fredrikson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Somesh Jha, Thomas Ristenpart, Ananthram Swami, Patrick McDaniel, Z. Berkay Celik, Nicolas Papernot, Samuel Yeom, Irene Giacomelli, Benjamin Livshits and David Page. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Proceedings of the VLDB Endowment, Computers & Security, Journal of Computer Security and IEEE Access.
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.