Luis Muñoz-González

1.6k total citations · 1 hit paper
14 papers, 438 citations indexed

About

Luis Muñoz-González is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Luis Muñoz-González has authored 14 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 4 papers in Control and Systems Engineering. Recurrent topics in Luis Muñoz-González's work include Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (4 papers) and Gaussian Processes and Bayesian Inference (3 papers). Luis Muñoz-González is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (4 papers) and Gaussian Processes and Bayesian Inference (3 papers). Luis Muñoz-González collaborates with scholars based in United Kingdom, Spain and Sweden. Luis Muñoz-González's co-authors include Emil Lupu, Andrea Paudice, Fabio Roli, Battista Biggio, Ambra Demontis, Shahid Raza, Miguel Lázaro-Gredilla, Anı́bal R. Figueiras-Vidal, Giuliano Casale and Fei Teng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Computers & Security.

In The Last Decade

Luis Muñoz-González

14 papers receiving 419 citations

Hit Papers

align trajectories

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.

Towards poisoning of deep learning algorithms with back-gradient optimization

2017 287 citations Luis Muñoz-González, Battista Biggio et al. UNICA IRIS Institutional Research Information System (University of Cagliari) profile →

Peers

Luis Muñoz-González

AI

CNC

SP

IS

CSE

K. Muneeswaran United States

Andrey Kolobov United States

Ying Zhong China

Ahmed T. Sadiq Iraq

Alexei Lisitsa United Kingdom

Yulong Fu China

Saeed Amizadeh United States

Evgenia Novikova Russia

Omar Adwan Jordan

Weifeng Chen United States

K. Muneeswaran United States

Luis Muñoz-González

290 ×0.8

AI

208 ×1.8

CNC

108 ×1.2

SP

63 ×1.4

IS

19 ×0.6

CSE

Citations per year, relative to Luis Muñoz-González Luis Muñoz-González (= 1×) peers K. Muneeswaran

Countries citing papers authored by Luis Muñoz-González

Since Specialization

Citations

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

Fields of papers citing papers by Luis Muñoz-González

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Muñoz-González. 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 Luis Muñoz-González. The network helps show where Luis Muñoz-González may publish in the future.

Co-authorship network of co-authors of Luis Muñoz-González

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

All Works

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14 of 14 papers shown

1.

Muñoz-González, Luis, et al.. (2023). Hyperparameter Learning Under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 16008–16022. 1 indexed citations

2.

Muñoz-González, Luis, et al.. (2023). SparSFA: Towards robust and communication-efficient peer-to-peer federated learning. Computers & Security. 129. 103182–103182. 21 indexed citations

3.

Casale, Giuliano, et al.. (2022). Redundancy Planning for Cost Efficient Resilience to Cyber Attacks. IEEE Transactions on Dependable and Secure Computing. 20(2). 1154–1168. 6 indexed citations

4.

Muñoz-González, Luis, et al.. (2022). HA-Grid: Security Aware Hazard Analysis for Smart Grids. Spiral (Imperial College London). 446–452. 4 indexed citations

5.

Muñoz-González, Luis, et al.. (2021). Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection. KTH Publication Database DiVA (KTH Royal Institute of Technology). 153–163. 46 indexed citations

6.

Muñoz-González, Luis, et al.. (2019). Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training. arXiv (Cornell University). 1 indexed citations

7.

Paudice, Andrea, et al.. (2018). Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks. ACM Transactions on Sensor Networks. 14(1). 1–35. 11 indexed citations

8.

Muñoz-González, Luis & Emil Lupu. (2018). The Secret of Machine Learning. ITNOW. 60(1). 38–39. 4 indexed citations

9.

Muñoz-González, Luis, Battista Biggio, Ambra Demontis, et al.. (2017). Towards poisoning of deep learning algorithms with back-gradient optimization. UNICA IRIS Institutional Research Information System (University of Cagliari). 287 indexed citations breakdown →

10.

Muñoz-González, Luis, et al.. (2016). Don't fool Me!: Detection, Characterisation and Diagnosis of Spoofed and Masked Events in Wireless Sensor Networks. IEEE Transactions on Dependable and Secure Computing. 14(3). 279–293. 13 indexed citations

11.

Muñoz-González, Luis, Miguel Lázaro-Gredilla, & Anı́bal R. Figueiras-Vidal. (2015). Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(3). 618–624. 11 indexed citations

12.

Muñoz-González, Luis, Miguel Lázaro-Gredilla, & Anı́bal R. Figueiras-Vidal. (2014). Divisive Gaussian Processes for Nonstationary Regression. IEEE Transactions on Neural Networks and Learning Systems. 25(11). 1991–2003. 20 indexed citations

13.

Muñoz-González, Luis, Miguel Lázaro-Gredilla, & Anı́bal R. Figueiras-Vidal. (2014). Laplace approximation with Gaussian Processes for volatility forecasting. 23. 1–6. 1 indexed citations

14.

Muñoz-González, Luis, Miguel Lázaro-Gredilla, & Anı́bal R. Figueiras-Vidal. (2011). Heteroscedastic Gaussian process regression using expectation propagation. 1–6. 12 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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