Patrick Drew McDaniel

261 papers receiving 20.6k citations

Patrick Drew McDaniel's Hit Papers

A survey on IoT platforms: Communication, security, and privacy perspectives 2021 · 185 citations
1850+5+11Years since publication50010001.5k2.0k2.5k

Peers

Patrick Drew McDaniel
Comparison fields: 5 of 151
  • Signal Processing 11.7k
  • Software 3.8k
  • Computer Networks and Communications 8.4k
  • Artificial Intelligence 11.9k
  • Information Systems 7.5k
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Citations per year

Countries citing papers authored by Patrick Drew McDaniel

Since Specialization
Citations

This map shows the geographic impact of Patrick Drew McDaniel'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 Patrick Drew McDaniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Drew McDaniel more than expected).

Fields of papers citing papers by Patrick Drew McDaniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Drew McDaniel. 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 Patrick Drew McDaniel. The network helps show where Patrick Drew McDaniel may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick Drew McDaniel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Drew McDaniel Line = papers co-authored together Patrick Drew McDaniel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 273 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Limitations of Deep Learning in Adversarial Settings
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20162538
2
Practical Black-Box Attacks against Machine Learning
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20172215
3
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
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20101775
4
FlowDroid
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20141151
5
TaintDroid
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2014955
6
Security and Privacy Challenges in the Smart Grid
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2009931
7
On lightweight mobile phone application certification
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2009778
8
FlowDroid
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2014767
9
A study of android application security
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2011679
10
Understanding Android Security
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2009430
11
Adversarial Examples for Malware Detection
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2017374
12
IccTA: Detecting Inter-Component Privacy Leaks in Android Apps
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2015333
13
IccTA: Detecting Inter-Component Privacy Leaks in Android Apps
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2015325
14
An Analysis of Anonymity in Bitcoin Using P2P Network Traffic
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2014315
15 2009279
16 2006279
17
Effective inter-component communication mapping in Android with Epicc: an essential step towards holistic security analysis
2013262
18 2010241
19 2014239
20 2018233

About Patrick Drew McDaniel

Patrick Drew McDaniel is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Software, having authored 273 papers that have together received 21.6k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (90 papers), Security and Verification in Computing (70 papers), Network Security and Intrusion Detection (64 papers), Internet Traffic Analysis and Secure E-voting (46 papers), Access Control and Trust (26 papers), IPv6, Mobility, Handover, Networks, Security (17 papers), Cryptography and Data Security (16 papers) and Cloud Data Security Solutions (15 papers). The work is most often cited by research in Signal Processing (11.7k citations), Software (3.8k citations), Computer Networks and Communications (8.4k citations), Artificial Intelligence (11.9k citations) and Information Systems (7.5k citations). Patrick Drew McDaniel has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include William Enck, Nicolas Papernot, Somesh Jha, Stephen McLaughlin, Ananthram Swami, Damien Octeau, Machigar Ongtang, Ian Goodfellow, Matt Fredrikson and Anmol N. Sheth. Their work appears in journals such as IEEE Security & Privacy, IEEE/ACM Transactions on Networking, Computer Networks, Journal of Computer Security and IEEE Transactions on Network and Service Management.

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.

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