Andrew Paverd

1.3k total citations · 1 hit paper
28 papers, 734 citations indexed

About

Andrew Paverd is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Andrew Paverd has authored 28 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Information Systems and 9 papers in Signal Processing. Recurrent topics in Andrew Paverd's work include Security and Verification in Computing (10 papers), Advanced Malware Detection Techniques (9 papers) and Privacy-Preserving Technologies in Data (7 papers). Andrew Paverd is often cited by papers focused on Security and Verification in Computing (10 papers), Advanced Malware Detection Techniques (9 papers) and Privacy-Preserving Technologies in Data (7 papers). Andrew Paverd collaborates with scholars based in United Kingdom, Finland and United States. Andrew Paverd's co-authors include Andrew Martin, N. Asokan, Guangdong Bai, Jin Song Dong, Yun Lin, Pardeep Kumar, Ahmad‐Reza Sadeghi, Gene Tsudik, Tigist Abera and Lucas Davi and has published in prestigious journals such as Communications of the ACM, IEEE Communications Surveys & Tutorials and IEEE Internet Computing.

In The Last Decade

Andrew Paverd

26 papers receiving 715 citations

Hit Papers

Smart Grid Metering Networks: A Survey on Security, Priva... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues
    2019 233 citations Pardeep Kumar, Yun Lin et al. IEEE Communications Surveys & Tutorials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Paverd United Kingdom 10 390 250 239 224 208 28 734
Flavio D. Garcia United Kingdom 13 578 1.5× 266 1.1× 309 1.3× 233 1.0× 97 0.5× 37 914
Katsunari Yoshioka Japan 15 398 1.0× 169 0.7× 213 0.9× 619 2.8× 79 0.4× 96 907
Sriram Sankaran India 13 127 0.3× 153 0.6× 206 0.9× 422 1.9× 63 0.3× 70 667
Ahmad Ibrahim Germany 14 488 1.3× 123 0.5× 312 1.3× 429 1.9× 45 0.2× 42 829
Yingxu Lai China 16 342 0.9× 96 0.4× 140 0.6× 469 2.1× 142 0.7× 83 669
Gedare Bloom United States 14 256 0.7× 427 1.7× 94 0.4× 405 1.8× 93 0.4× 63 772
Antonios Sarigiannidis Greece 15 186 0.5× 287 1.1× 118 0.5× 429 1.9× 276 1.3× 32 757
Mario Polino Italy 9 401 1.0× 72 0.3× 332 1.4× 243 1.1× 69 0.3× 23 877
Moses Garuba United States 11 233 0.6× 149 0.6× 178 0.7× 314 1.4× 101 0.5× 38 603

Countries citing papers authored by Andrew Paverd

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Paverd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Paverd. 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 Andrew Paverd. The network helps show where Andrew Paverd may publish in the future.

Co-authorship network of co-authors of Andrew Paverd

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Paverd. A scholar is included among the top collaborators of Andrew Paverd based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Paverd. Andrew Paverd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abdelnabi, Sahar, et al.. (2025). Get My Drift? Catching LLM Task Drift with Activation Deltas. 43–67. 3 indexed citations
2.
Guo, Jinnan, Peter Pietzuch, Andrew Paverd, & Kapil Vaswani. (2024). Trustworthy AI Using Confidential Federated Learning. Communications of the ACM. 67(9). 48–53. 2 indexed citations
3.
Guo, Jinnan, Peter Pietzuch, Andrew Paverd, & Kapil Vaswani. (2024). Trustworthy AI using Confidential Federated Learning. Queue. 22(2). 87–107.
4.
Zanella-Béguelin, Santiago, Shruti Tople, Andrew Paverd, & Boris Köpf. (2021). Grey-box Extraction of Natural Language Models. International Conference on Machine Learning. 12278–12286. 4 indexed citations
5.
Paverd, Andrew, et al.. (2021). PDoT. 2(1). 1–22. 6 indexed citations
6.
Zanella-Béguelin, Santiago, Shruti Tople, Victor Rühle, et al.. (2020). Analyzing Information Leakage of Updates to Natural Language Models. arXiv (Cornell University). 363–375. 49 indexed citations
7.
Kumar, Pardeep, Yun Lin, Guangdong Bai, et al.. (2019). Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues. IEEE Communications Surveys & Tutorials. 21(3). 2886–2927. 233 indexed citations breakdown →
8.
Nyman, Thomas, Ghada Dessouky, Shaza Zeitouni, et al.. (2019). HardScope. Aaltodoc (Aalto University). 1–6. 10 indexed citations
9.
Paverd, Andrew, Marcus Völp, Ferdinand Brasser, et al.. (2019). Sustainable Security & Safety: Challenges and Opportunities. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
10.
Paverd, Andrew, Long Hoang Nguyen, Thien Duc Nguyen, et al.. (2018). OmniShare: Encrypted Cloud Storage for the Multi-Device Era. IEEE Internet Computing. 22(4). 27–36. 3 indexed citations
11.
Mundhenk, Philipp, Andrew Paverd, Sebastian Steinhorst, et al.. (2017). System Level Design Approaches to Security in Automotive Networks. arXiv (Cornell University). 1 indexed citations
12.
Naderpour, Masoud, et al.. (2017). Auditable De-anonymization in V2X Communication. 5(1). 51–106. 1 indexed citations
13.
Mundhenk, Philipp, Andrew Paverd, Sebastian Steinhorst, et al.. (2017). Security in Automotive Networks: Lightweight Authentication and Authorization. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 41 indexed citations
14.
Paverd, Andrew, et al.. (2017). A framework for application partitioning using trusted execution environments. Concurrency and Computation Practice and Experience. 29(23). 3 indexed citations
15.
Paverd, Andrew, et al.. (2016). Proceedings of the 1st Workshop on System Software for Trusted Execution. Oxford University Research Archive (ORA) (University of Oxford). 1 indexed citations
16.
Abera, Tigist, N. Asokan, Lucas Davi, et al.. (2016). C-FLAT. 743–754. 162 indexed citations
17.
Paverd, Andrew, et al.. (2016). Exploring the use of Intel SGX for Secure Many-Party Applications. 1–6. 27 indexed citations
18.
Abera, Tigist, N. Asokan, Lucas Davi, et al.. (2016). Invited - Things, trouble, trust. 1–6. 78 indexed citations
19.
Paverd, Andrew, et al.. (2013). Towards Enhancing Web Application Security Using Trusted Execution. Oxford University Research Archive (ORA) (University of Oxford). 2 indexed citations
20.
Paverd, Andrew, et al.. (2011). Mobile device-based cellular network coverage analysis using crowd sourcing. 14. 1–6. 7 indexed citations

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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