Briland Hitaj

1.6k total citations · 1 hit paper
5 papers, 809 citations indexed

About

Briland Hitaj is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Briland Hitaj has authored 5 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Briland Hitaj's work include Adversarial Robustness in Machine Learning (3 papers), Advanced Neural Network Applications (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Briland Hitaj is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Advanced Neural Network Applications (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Briland Hitaj collaborates with scholars based in United States, Italy and Switzerland. Briland Hitaj's co-authors include Giuseppe Ateniese, Fernando Pérez‐Cruz, Luigi V. Mancini, Sushil Jajodia, Fabio De Gaspari, Ulf Lindqvist, Deborah Shands and Timothy J. Ellis and has published in prestigious journals such as IEEE Transactions on Dependable and Secure Computing and IRIS Research product catalog (Sapienza University of Rome).

In The Last Decade

Briland Hitaj

4 papers receiving 786 citations

Hit Papers

Deep Models Under the GAN 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Briland Hitaj United States 3 751 94 93 70 70 5 809
Yiqun Diao Singapore 2 503 0.7× 53 0.6× 57 0.6× 38 0.5× 69 1.0× 5 566
Hongsheng Hu Australia 10 355 0.5× 72 0.8× 59 0.6× 35 0.5× 17 0.2× 14 448
Lichuan Ma China 7 246 0.3× 122 1.3× 23 0.2× 51 0.7× 82 1.2× 15 407
Moming Duan China 8 429 0.6× 75 0.8× 44 0.5× 38 0.5× 64 0.9× 17 498
Jamie Hayes United Kingdom 9 502 0.7× 38 0.4× 249 2.7× 34 0.5× 16 0.2× 23 669
Renping Liu China 5 285 0.4× 46 0.5× 46 0.5× 28 0.4× 53 0.8× 9 355
Geetha Jagannathan United States 7 428 0.6× 94 1.0× 48 0.5× 75 1.1× 39 0.6× 11 485
Peva Blanchard Switzerland 3 547 0.7× 85 0.9× 32 0.3× 22 0.3× 27 0.4× 5 592
Julien Stainer Switzerland 4 552 0.7× 85 0.9× 32 0.3× 23 0.3× 27 0.4× 8 608
Zhuoran Ma China 10 378 0.5× 83 0.9× 34 0.4× 30 0.4× 23 0.3× 19 463

Countries citing papers authored by Briland Hitaj

Since Specialization
Citations

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

Fields of papers citing papers by Briland Hitaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Briland Hitaj

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

All Works

5 of 5 papers shown
1.
Gaspari, Fabio De, et al.. (2025). Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem. IEEE Transactions on Dependable and Secure Computing. 22(6). 6504–6521. 1 indexed citations
3.
Hitaj, Briland, et al.. (2021). Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks. IRIS Research product catalog (Sapienza University of Rome). 10 indexed citations
4.
Hitaj, Briland, et al.. (2019). Evasion Attacks Against Watermarking Techniques found in MLaaS Systems. IRIS Research product catalog (Sapienza University of Rome). 55–63. 16 indexed citations
5.
Hitaj, Briland, Giuseppe Ateniese, & Fernando Pérez‐Cruz. (2017). Deep Models Under the GAN. IRIS Research product catalog (Sapienza University of Rome). 603–618. 782 indexed citations breakdown →

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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