Anish Athalye

4.8k citations
5 papers · 217 indexed · h-index 3
Topics
Security and Verification in Computing (3 papers)Advanced Malware Detection Techniques (3 papers)Adversarial Robustness in Machine Learning (2 papers)
Journals
arXiv (Cornell University)International Conference on Machine LearningDSpace@MIT (Massachusetts Institute of Technology)
Partner nations
United States

In The Last Decade

Anish Athalye

4 papers receiving 200 citations

Peers

Anish Athalye
Comparison fields: 5 of 37
  • Artificial Intelligence 199
  • Computer Vision and Pattern Recognition 63
  • Signal Processing 50
  • Molecular Biology 32
  • Electrical and Electronic Engineering 30
Replace Chun‐Chen Tu with:
Chun‐Chen Tu United States
Jen-tse Huang China
Jonas Rauber Germany
Elan Rosenfeld United States
Seira Hidano Japan
Jacob Buckman United States
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Brandon Tran United States
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Huamin Feng China
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Citations per field
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Citations per year

Countries citing papers authored by Anish Athalye

Since Specialization
Citations

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

Fields of papers citing papers by Anish Athalye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anish Athalye

This figure shows the co-authorship network connecting the top 25 collaborators of Anish Athalye. A scholar is included among the top collaborators of Anish Athalye 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 Anish Athalye. Anish Athalye 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
#WorkIndexed citations
1 0
2
Notary: A Device for Secure Transaction Approval.
2
3 11
4
Synthesizing Robust Adversarial Examples
193
5
Query-Efficient Black-box Adversarial Examples
11

About Anish Athalye

Anish Athalye is a scholar working on Signal Processing, Biophysics and Artificial Intelligence, having authored 5 papers that have together received 217 indexed citations. Recurring topics across this work include Security and Verification in Computing (3 papers), Advanced Malware Detection Techniques (3 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Artificial Intelligence (199 citations), Signal Processing (50 citations) and Hardware and Architecture (23 citations). Anish Athalye has collaborated with scholars based in United States. Frequent co-authors include Logan Engstrom, Andrew Ilyas, Jessy Lin, Adam Belay, Nickolai Zeldovich, M. Frans Kaashoek, Robert Morris, Frans Kaashoek, Robert Tappan Morris and Joseph Tassarotti. Their work appears in journals such as arXiv (Cornell University), International Conference on Machine Learning and DSpace@MIT (Massachusetts Institute of Technology).

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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