Dana Drachsler-Cohen

2.3k total citations · 2 hit papers
12 papers, 1.1k citations indexed

About

Dana Drachsler-Cohen is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Dana Drachsler-Cohen has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Dana Drachsler-Cohen's work include Adversarial Robustness in Machine Learning (6 papers), Cryptography and Data Security (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Dana Drachsler-Cohen is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Cryptography and Data Security (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Dana Drachsler-Cohen collaborates with scholars based in Switzerland, Israel and United Kingdom. Dana Drachsler-Cohen's co-authors include Martin Vechev, Petar Tsankov, Andrei Dan, Arthur Gervais, Timon Gehr, Swarat Chaudhuri, Matthew Mirman, Dimitar Dimitrov, Laurent Vanbever and Benjamin Bichsel and has published in prestigious journals such as Proceedings of the ACM on Programming Languages, Spiral (Imperial College London) and International Conference on Machine Learning.

In The Last Decade

Dana Drachsler-Cohen

10 papers receiving 1.1k 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.

Securify

2018 580 citations Petar Tsankov, Andrei Dan et al. Spiral (Imperial College London) profile →
AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation

2018 316 citations Timon Gehr, Matthew Mirman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dana Drachsler-Cohen Switzerland	8	691	649	321	133	92	12	1.1k
Qinming He China	18	841 1.2×	381 0.6×	250 0.8×	254 1.9×	84 0.9×	66	1.1k
Petar Tsankov Switzerland	14	1.0k 1.5×	814 1.3×	570 1.8×	284 2.1×	122 1.3×	26	1.6k
Sergio Flesca Italy	16	515 0.7×	638 1.0×	274 0.9×	434 3.3×	49 0.5×	82	1.1k
İbrahim Soğukpınar Türkiye	16	496 0.7×	240 0.4×	373 1.2×	468 3.5×	33 0.4×	62	818
Stefano Bistarelli Italy	17	473 0.7×	783 1.2×	338 1.1×	772 5.8×	97 1.1×	133	1.5k
Sandro Etalle Netherlands	19	368 0.5×	534 0.8×	221 0.7×	576 4.3×	58 0.6×	122	1.1k
Matteo Maffei Germany	17	780 1.1×	732 1.1×	137 0.4×	492 3.7×	43 0.5×	68	1.2k
Michael R. Grimaila United States	19	319 0.5×	361 0.6×	142 0.4×	288 2.2×	41 0.4×	106	1.0k
Pratyusa K. Manadhata United States	9	498 0.7×	293 0.5×	289 0.9×	503 3.8×	39 0.4×	16	867

Countries citing papers authored by Dana Drachsler-Cohen

Since Specialization

Citations

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

Fields of papers citing papers by Dana Drachsler-Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Drachsler-Cohen. 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 Dana Drachsler-Cohen. The network helps show where Dana Drachsler-Cohen may publish in the future.

Co-authorship network of co-authors of Dana Drachsler-Cohen

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Drachsler-Cohen, Dana, et al.. (2025). Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification. Proceedings of the ACM on Programming Languages. 9(OOPSLA1). 1184–1212.

2.

Drachsler-Cohen, Dana, et al.. (2024). Verification of Neural Networks’ Global Robustness. Proceedings of the ACM on Programming Languages. 8(OOPSLA1). 1010–1039. 3 indexed citations

3.

Drachsler-Cohen, Dana, et al.. (2023). One Pixel Adversarial Attacks via Sketched Programs. Proceedings of the ACM on Programming Languages. 7(PLDI). 1970–1994. 1 indexed citations

4.

Drachsler-Cohen, Dana, et al.. (2023). Deep Learning Robustness Verification for Few-Pixel Attacks. Proceedings of the ACM on Programming Languages. 7(OOPSLA1). 434–461.

5.

Dimitrov, Dimitar, et al.. (2020). VerX: Safety Verification of Smart Contracts. 1661–1677. 134 indexed citations

6.

Drachsler-Cohen, Dana, et al.. (2020). Config2Spec: Mining Network Specifications from Network Configurations. 969–984. 10 indexed citations

7.

Fischer, Marc, Mislav Balunović, Dana Drachsler-Cohen, et al.. (2019). DL2: Training and Querying Neural Networks with Logic.. International Conference on Machine Learning. 97. 1931–1941. 26 indexed citations

8.

Gehr, Timon, Matthew Mirman, Dana Drachsler-Cohen, et al.. (2018). AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation. 3–18. 316 indexed citations breakdown →

9.

Tsankov, Petar, et al.. (2018). Securify. Spiral (Imperial College London). 67–82. 580 indexed citations breakdown →

10.

Bichsel, Benjamin, Timon Gehr, Dana Drachsler-Cohen, Petar Tsankov, & Martin Vechev. (2018). DP-Finder. 508–524. 24 indexed citations

11.

Drachsler-Cohen, Dana, et al.. (2018). Net2Text: Query-Guided Summarization of Network Forwarding Behaviors. 609–623. 11 indexed citations

12.

Aharon, Michal, et al.. (2015). ExcUseMe. 83–90. 20 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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