Annelie Heuser

2.2k total citations
27 papers, 628 citations indexed

About

Annelie Heuser is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Annelie Heuser has authored 27 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Signal Processing and 14 papers in Hardware and Architecture. Recurrent topics in Annelie Heuser's work include Cryptographic Implementations and Security (23 papers), Physical Unclonable Functions (PUFs) and Hardware Security (14 papers) and Advanced Malware Detection Techniques (14 papers). Annelie Heuser is often cited by papers focused on Cryptographic Implementations and Security (23 papers), Physical Unclonable Functions (PUFs) and Hardware Security (14 papers) and Advanced Malware Detection Techniques (14 papers). Annelie Heuser collaborates with scholars based in France, Netherlands and Germany. Annelie Heuser's co-authors include Stjepan Picek, Shivam Bhasin, Alan Jović, Sylvain Guilley, Francesco Regazzoni, Jaehun Kim, Alan Hanjalić, Michael Zohner, Nele Mentens and Domagoj Jakobović and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Annelie Heuser

26 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annelie Heuser France 13 537 324 257 230 78 27 628
Guilherme Perin Netherlands 12 339 0.6× 178 0.5× 158 0.6× 136 0.6× 55 0.7× 28 417
Florian Mendel Austria 14 541 1.0× 217 0.7× 122 0.5× 313 1.4× 52 0.7× 47 624
Maria Eichlseder Austria 11 455 0.8× 232 0.7× 108 0.4× 240 1.0× 54 0.7× 31 545
Christoph Dobraunig Netherlands 13 505 0.9× 244 0.8× 108 0.4× 287 1.2× 54 0.7× 34 597
Michael Tunstall United Kingdom 11 702 1.3× 458 1.4× 203 0.8× 224 1.0× 157 2.0× 31 846
Paolo Maistri France 12 578 1.1× 368 1.1× 101 0.4× 244 1.1× 124 1.6× 44 670
Orr Dunkelman Israel 13 439 0.8× 92 0.3× 128 0.5× 286 1.2× 68 0.9× 69 556
Christian Rechberger Austria 18 697 1.3× 187 0.6× 74 0.3× 376 1.6× 81 1.0× 64 799
Bryan Weeks United States 2 382 0.7× 125 0.4× 76 0.3× 285 1.2× 43 0.6× 2 460
Seokhie Hong South Korea 13 463 0.9× 125 0.4× 74 0.3× 261 1.1× 65 0.8× 122 569

Countries citing papers authored by Annelie Heuser

Since Specialization
Citations

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

Fields of papers citing papers by Annelie Heuser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annelie Heuser

This figure shows the co-authorship network connecting the top 25 collaborators of Annelie Heuser. A scholar is included among the top collaborators of Annelie Heuser 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 Annelie Heuser. Annelie Heuser 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.
Kim, Jaehun, Stjepan Picek, Annelie Heuser, Shivam Bhasin, & Alan Hanjalić. (2024). Still Making Noise: Improving Deep- Learning-Based Side- Channel Analysis. IEEE Design and Test. 42(1). 20–27.
2.
Picek, Stjepan, Annelie Heuser, Alan Jović, Shivam Bhasin, & Francesco Regazzoni. (2023). Tipping the Balance: Imbalanced Classes in Deep-Learning Side-Channel Analysis. IEEE Design and Test. 41(2). 32–38. 2 indexed citations
3.
Heuser, Annelie, et al.. (2021). Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification. Annual Computer Security Applications Conference. 706–719. 14 indexed citations
4.
Zendra, Olivier, et al.. (2021). Accurate and Robust Malware Analysis through Similarity of External Calls Dependency Graphs (ECDG). SPIRE - Sciences Po Institutional REpository. 1–12. 5 indexed citations
5.
Kim, Jaehun, Stjepan Picek, Annelie Heuser, Shivam Bhasin, & Alan Hanjalić. (2019). Make Some Noise. Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis. IACR Transactions on Cryptographic Hardware and Embedded Systems. 148–179. 131 indexed citations
6.
Picek, Stjepan, Annelie Heuser, Alan Jović, Shivam Bhasin, & Francesco Regazzoni. (2018). The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluations. IACR Transactions on Cryptographic Hardware and Embedded Systems. 209–237. 129 indexed citations
7.
Picek, Stjepan, Annelie Heuser, Alan Jović, Shivam Bhasin, & Francesco Regazzoni. (2018). The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluations. SHILAP Revista de lepidopterología. 16 indexed citations
8.
Picek, Stjepan, Annelie Heuser, Alan Jović, et al.. (2017). Side-channel analysis and machine learning: A practical perspective. 4095–4102. 63 indexed citations
9.
Guilley, Sylvain, et al.. (2017). On the optimality and practicability of mutual information analysis in some scenarios. Cryptography and Communications. 10(1). 101–121. 9 indexed citations
10.
Bruneau, Nicolas, et al.. (2017). Optimal side-channel attacks for multivariate leakages and multiple models. Journal of Cryptographic Engineering. 7(4). 331–341. 12 indexed citations
11.
Picek, Stjepan, Annelie Heuser, & Sylvain Guilley. (2017). Template attack versus Bayes classifier. Journal of Cryptographic Engineering. 7(4). 343–351. 31 indexed citations
12.
Heuser, Annelie, Stjepan Picek, Sylvain Guilley, & Nele Mentens. (2017). Lightweight Ciphers and Their Side-Channel Resilience. IEEE Transactions on Computers. 69(10). 1434–1448. 32 indexed citations
13.
Bruneau, Nicolas, Claude Carlet, Sylvain Guilley, et al.. (2017). Stochastic Collision Attack. IEEE Transactions on Information Forensics and Security. 12(9). 2090–2104. 10 indexed citations
14.
Heuser, Annelie, et al.. (2016). PFD—A Flexible Higher-Order Masking Scheme. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 36(8). 1327–1339. 2 indexed citations
15.
Clavier, Christophe, Jean‐Luc Danger, Benoît Gérard, et al.. (2014). Practical improvements of side-channel attacks on AES: feedback from the 2nd DPA contest. Journal of Cryptographic Engineering. 4(4). 259–274. 18 indexed citations
16.
Bulygin, Stanislav, et al.. (2013). Improved algebraic side-channel attack on AES. Journal of Cryptographic Engineering. 3(3). 139–156. 10 indexed citations
17.
Heuser, Annelie, Werner Schindler, & Marc Stöttinger. (2012). Revealing side-channel issues of complex circuits by enhanced leakage models. 1179–1184. 9 indexed citations
18.
Heuser, Annelie & Michael Zohner. (2012). Intelligent Machine Homicide - Breaking Cryptographic Devices Using Support Vector Machines.. 249–264. 35 indexed citations
19.
Bulygin, Stanislav, et al.. (2012). Improved algebraic side-channel attack on AES. 146–151. 22 indexed citations
20.
Heuser, Annelie, et al.. (2012). A Novel Analysis Method for Assessing the Side-Channel Resistance of Cryptosystems. 480–485. 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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