Christopher A. Choquette-Choo

2.7k total citations · 1 hit paper
10 papers, 406 citations indexed

About

Christopher A. Choquette-Choo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Christopher A. Choquette-Choo has authored 10 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Christopher A. Choquette-Choo's work include Privacy-Preserving Technologies in Data (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Cryptography and Data Security (2 papers). Christopher A. Choquette-Choo is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Cryptography and Data Security (2 papers). Christopher A. Choquette-Choo collaborates with scholars based in United States, Canada and United Kingdom. Christopher A. Choquette-Choo's co-authors include Nicolas Papernot, Varun Chandrasekaran, Hengrui Jia, David Lie, Baiwu Zhang, Natalie Dullerud, Matthew Jagielski, Jonny Proppe, Hyrum S. Anderson and Florian Tramèr and has published in prestigious journals such as USENIX Security Symposium, arXiv (Cornell University) and Proceedings on Privacy Enhancing Technologies.

In The Last Decade

Christopher A. Choquette-Choo

10 papers receiving 394 citations

Hit Papers

Machine Unlearning 2021 2026 2022 2024 2021 50 100 150 200 250
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.

  1. Machine Unlearning
    2021 285 citations Varun Chandrasekaran, Christopher A. Choquette-Choo et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher A. Choquette-Choo United States 6 302 84 67 47 33 10 406
Varun Chandrasekaran United States 7 331 1.1× 99 1.2× 66 1.0× 56 1.2× 37 1.1× 18 447
Mohammad Al-Rubaie United States 4 226 0.7× 46 0.5× 51 0.8× 42 0.9× 35 1.1× 5 307
Shengnan Zhao China 5 221 0.7× 37 0.4× 96 1.4× 54 1.1× 26 0.8× 15 308
Yushun Dong United States 12 349 1.2× 57 0.7× 94 1.4× 21 0.4× 18 0.5× 25 448
Mika Juuti Finland 5 482 1.6× 71 0.8× 97 1.4× 24 0.5× 41 1.2× 5 536
Yiqun Diao Singapore 2 503 1.7× 57 0.7× 53 0.8× 85 1.8× 11 0.3× 5 566
Ali Shahin Shamsabadi United Kingdom 9 347 1.1× 82 1.0× 42 0.6× 31 0.7× 35 1.1× 17 401
Oleksandr Tkachenko Germany 7 360 1.2× 33 0.4× 68 1.0× 37 0.8× 19 0.6× 12 410
Yinghui Li China 9 185 0.6× 45 0.5× 46 0.7× 28 0.6× 15 0.5× 40 306
Renping Liu China 5 285 0.9× 46 0.5× 46 0.7× 82 1.7× 7 0.2× 9 355

Countries citing papers authored by Christopher A. Choquette-Choo

Since Specialization
Citations

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

Fields of papers citing papers by Christopher A. Choquette-Choo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher A. Choquette-Choo. 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 Christopher A. Choquette-Choo. The network helps show where Christopher A. Choquette-Choo may publish in the future.

Co-authorship network of co-authors of Christopher A. Choquette-Choo

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

All Works

10 of 10 papers shown
1.
Hayes, Jamie, Ilia Shumailov, Milad Nasr, et al.. (2025). Measuring memorization in language models via probabilistic extraction. 9266–9291. 3 indexed citations
2.
Jagielski, Matthew, et al.. (2025). Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training. 18703–18726. 1 indexed citations
3.
Kairouz, Peter, et al.. (2024). User Inference Attacks on Large Language Models. 18238–18265. 5 indexed citations
4.
Carlini, Nicholas, Matthew Jagielski, Christopher A. Choquette-Choo, et al.. (2024). Poisoning Web-Scale Training Datasets is Practical. 407–425. 26 indexed citations
5.
Jia, Hengrui, et al.. (2023). Proof-of-Learning is Currently More Broken Than You Think. 797–816. 4 indexed citations
6.
Dziedzic, Adam, Christopher A. Choquette-Choo, Natalie Dullerud, et al.. (2023). Private Multi-Winner Voting for Machine Learning. Proceedings on Privacy Enhancing Technologies. 2023(1). 527–555. 1 indexed citations
7.
Jia, Hengrui, Christopher A. Choquette-Choo, Varun Chandrasekaran, & Nicolas Papernot. (2021). Entangled Watermarks as a Defense against Model Extraction. USENIX Security Symposium. 1937–1954. 29 indexed citations
8.
Jia, Hengrui, et al.. (2021). Proof-of-Learning: Definitions and Practice. 1039–1056. 39 indexed citations
9.
Chandrasekaran, Varun, Christopher A. Choquette-Choo, Hengrui Jia, et al.. (2021). Machine Unlearning. 141–159. 285 indexed citations breakdown →
10.
Choquette-Choo, Christopher A., et al.. (2019). A Multi-label, Dual-Output Deep Neural Network for Automated Bug Triaging. arXiv (Cornell University). 937–944. 13 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Varun Chandrasekaran Breakdown of academic impact, for papers by Mohammad Al-Rubaie Breakdown of academic impact, for papers by Shengnan Zhao Breakdown of academic impact, for papers by Yushun Dong Breakdown of academic impact, for papers by Mika Juuti Breakdown of academic impact, for papers by Yiqun Diao Breakdown of academic impact, for papers by Ali Shahin Shamsabadi Breakdown of academic impact, for papers by Oleksandr Tkachenko Breakdown of academic impact, for papers by Yinghui Li Breakdown of academic impact, for papers by Renping Liu
Rankless by CCL
2026