Vincent Bindschaedler

1.8k total citations
21 papers, 779 citations indexed

About

Vincent Bindschaedler is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Vincent Bindschaedler has authored 21 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Signal Processing. Recurrent topics in Vincent Bindschaedler's work include Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Vincent Bindschaedler is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Vincent Bindschaedler collaborates with scholars based in United States, Jamaica and Switzerland. Vincent Bindschaedler's co-authors include Reza Shokri, Carl A. Gunter, Xiaorui Pan, Muhammad Naveed, Thomas Ristenpart, Paul Grubbs, Haixu Tang, XiaoFeng Wang, Wenhao Wang and Guoxing Chen and has published in prestigious journals such as IEEE Access, IEEE Transactions on Mobile Computing and Proceedings of the VLDB Endowment.

In The Last Decade

Vincent Bindschaedler

17 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Bindschaedler United States 12 673 171 107 98 95 21 779
Lionel Brunie France 11 303 0.5× 152 0.9× 182 1.7× 34 0.3× 129 1.4× 49 550
SangKeun Lee South Korea 13 329 0.5× 232 1.4× 210 2.0× 74 0.8× 84 0.9× 92 670
Alessandro Aldini Italy 13 278 0.4× 166 1.0× 220 2.1× 93 0.9× 87 0.9× 70 520
Huayi Duan Hong Kong 12 390 0.6× 233 1.4× 118 1.1× 18 0.2× 55 0.6× 26 532
Wahbeh Qardaji United States 9 698 1.0× 92 0.5× 65 0.6× 31 0.3× 265 2.8× 12 787
Guoyong Cai China 10 279 0.4× 165 1.0× 89 0.8× 23 0.2× 105 1.1× 53 494
Ali Harounabadi Iran 10 122 0.2× 178 1.0× 114 1.1× 51 0.5× 55 0.6× 70 357
Amitabha Bagchi India 12 131 0.2× 82 0.5× 197 1.8× 57 0.6× 137 1.4× 57 526
Abhradeep Thakurta United States 19 1.3k 1.9× 113 0.7× 96 0.9× 23 0.2× 224 2.4× 40 1.4k

Countries citing papers authored by Vincent Bindschaedler

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Bindschaedler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Bindschaedler

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Bindschaedler. A scholar is included among the top collaborators of Vincent Bindschaedler 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 Vincent Bindschaedler. Vincent Bindschaedler 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.
Bindschaedler, Vincent, et al.. (2025). Provably Secure Covert Messaging Using Image-Based Diffusion Processes. 941–955.
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Naghavi, Pirouz, et al.. (2022). PermPress: Machine Learning-Based Pipeline to Evaluate Permissions in App Privacy Policies. IEEE Access. 10. 89248–89269. 11 indexed citations
6.
Charles, Subodha, Vincent Bindschaedler, & Prabhat Mishra. (2022). Digital Watermarking for Detecting Malicious Intellectual Property Cores in NoC Architectures. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 30(7). 952–965. 11 indexed citations
7.
Bindschaedler, Vincent, et al.. (2022). Enhanced Membership Inference Attacks against Machine Learning Models. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 3093–3106. 80 indexed citations
8.
Rampazzi, Sara, et al.. (2022). Analyzing the Monetization Ecosystem of Stalkerware. Proceedings on Privacy Enhancing Technologies. 2022(4). 105–119. 2 indexed citations
9.
Bindschaedler, Vincent, et al.. (2020). Towards Realistic Membership Inferences: The Case of Survey Data. Annual Computer Security Applications Conference. 116–128. 3 indexed citations
10.
Long, Yunhui, Diyue Bu, Vincent Bindschaedler, et al.. (2020). A Pragmatic Approach to Membership Inferences on Machine Learning Models. 521–534. 41 indexed citations
11.
Bindschaedler, Vincent, Paul Grubbs, David M. Cash, Thomas Ristenpart, & Vitaly Shmatikov. (2018). The tao of inference in privacy-protected databases. Proceedings of the VLDB Endowment. 11(11). 1715–1728. 39 indexed citations
12.
Bindschaedler, Vincent, Reza Shokri, & Carl A. Gunter. (2017). Plausible deniability for privacy-preserving data synthesis. Proceedings of the VLDB Endowment. 10(5). 481–492. 78 indexed citations
13.
Wang, Wenhao, Guoxing Chen, Xiaorui Pan, et al.. (2017). Leaky Cauldron on the Dark Land. PubMed. 2017. 2421–2434. 174 indexed citations
14.
Grubbs, Paul, et al.. (2017). Leakage-Abuse Attacks against Order-Revealing Encryption. 655–672. 106 indexed citations
15.
Bindschaedler, Vincent, et al.. (2017). Achieving Differential Privacy in Secure Multiparty Data Aggregation Protocols on Star Networks. 115–125. 12 indexed citations
16.
Wang, Liang, Paul Grubbs, Jiahui Lu, et al.. (2017). Side-Channel Attacks on Shared Search Indexes. 673–692. 5 indexed citations
17.
Bindschaedler, Vincent & Reza Shokri. (2016). Synthesizing Plausible Privacy-Preserving Location Traces. National University of Singapore. 546–563. 144 indexed citations
18.
Bindschaedler, Vincent, Muhammad Naveed, Xiaorui Pan, Xiaofeng Wang, & Yan Huang. (2015). Practicing Oblivious Access on Cloud Storage. 837–849. 54 indexed citations
19.
Huguenin, Kévin, et al.. (2014). A Location-Privacy Threat Stemming from the Use of Shared Public IP Addresses. IEEE Transactions on Mobile Computing. 13(11). 2445–2457. 11 indexed citations
20.
Bindschaedler, Vincent, et al.. (2012). Location Privacy Threats at Public Hotspots. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 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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