Antigoni Polychroniadou

880 total citations
13 papers, 59 citations indexed

About

Antigoni Polychroniadou is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Antigoni Polychroniadou has authored 13 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Computational Theory and Mathematics. Recurrent topics in Antigoni Polychroniadou's work include Cryptography and Data Security (10 papers), Blockchain Technology Applications and Security (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Antigoni Polychroniadou is often cited by papers focused on Cryptography and Data Security (10 papers), Blockchain Technology Applications and Security (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Antigoni Polychroniadou collaborates with scholars based in United States, Israel and Denmark. Antigoni Polychroniadou's co-authors include Sebastian Angel, Tal Rabin, Daniel Escudero, David R. Byrd, Tucker Balch, Vipul Goyal, Yifan Song, Gilad Asharov, Elaine Shi and Carmit Hazay and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Journal of Cryptology and Quantum Science and Technology.

In The Last Decade

Antigoni Polychroniadou

11 papers receiving 55 citations

Peers

Antigoni Polychroniadou

AI

IS

CNC

EEE

CTM

Veronika Kuchta Australia

Chaya Ganesh India

Isamu Teranishi Japan

Lukas Burkhalter Switzerland

Thomas Prest France

Aurore Guillevic France

Björn Tackmann Switzerland

Daniel J. Beutel United Kingdom

Alan Szepieniec Belgium

John M. Schanck United States

Veronika Kuchta Australia

Antigoni Polychroniadou

33 ×0.7

AI

20 ×1.3

IS

14 ×1.8

CNC

6 ×0.9

EEE

4 ×1.3

CTM

Citations per year, relative to Antigoni Polychroniadou Antigoni Polychroniadou (= 1×) peers Veronika Kuchta

Countries citing papers authored by Antigoni Polychroniadou

Since Specialization

Citations

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

Fields of papers citing papers by Antigoni Polychroniadou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antigoni Polychroniadou

This figure shows the co-authorship network connecting the top 25 collaborators of Antigoni Polychroniadou. A scholar is included among the top collaborators of Antigoni Polychroniadou 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 Antigoni Polychroniadou. Antigoni Polychroniadou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Tian, Xin, et al.. (2024). A Canonical Data Transformation for Achieving Inter- and Within-Group Fairness. IEEE Transactions on Information Forensics and Security. 19. 7449–7464. 1 indexed citations

2.

Polychroniadou, Antigoni, et al.. (2024). MicroSecAgg: Streamlined Single-Server Secure Aggregation. Proceedings on Privacy Enhancing Technologies. 2024(3). 246–275. 3 indexed citations

3.

Polychroniadou, Antigoni, et al.. (2024). PriDe CT: Towards Public Consensus, Private Transactions, and Forward Secrecy in Decentralized Payments. 3904–3922.

4.

Escudero, Daniel, et al.. (2024). Multi-Verifier Zero-Knowledge Proofs for Any Constant Fraction of Corrupted Verifiers. 4092–4106. 1 indexed citations

5.

Angel, Sebastian, et al.. (2023). Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning. arXiv (Cornell University). 477–496. 27 indexed citations

6.

Pistoia, Marco, J. F. Dynes, Paul Anthony Haigh, et al.. (2023). Paving the way toward 800 Gbps quantum-secured optical channel deployment in mission-critical environments. Quantum Science and Technology. 8(3). 35015–35015. 6 indexed citations

7.

Diamond, Benjamin, et al.. (2023). An Efficient Data-Independent Priority Queue and its Application to Dark Pools. Proceedings on Privacy Enhancing Technologies. 2023(2). 5–22.

8.

Damgård, Ivan, Daniel Escudero, & Antigoni Polychroniadou. (2023). Phoenix: Secure Computation in an Unstable Network with Dropouts and Comebacks. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

9.

Escudero, Daniel, Vipul Goyal, Antigoni Polychroniadou, & Yifan Song. (2022). TurboPack. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 951–964. 8 indexed citations

10.

Byrd, David R., et al.. (2022). Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy. 114–122. 4 indexed citations

11.

Halevi, Shai, Carmit Hazay, Antigoni Polychroniadou, & Muthuramakrishnan Venkitasubramaniam. (2021). Round-Optimal Secure Multi-party Computation. Journal of Cryptology. 34(3). 3 indexed citations

12.

Asharov, Gilad, et al.. (2020). Privacy-Preserving Dark Pools. Adaptive Agents and Multi-Agents Systems. 1747–1749. 3 indexed citations

13.

Balch, Tucker, et al.. (2020). SecretMatch. 1–7. 2 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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