World's Best Scientists 2026 revealed!
Florian Tramèr

Florian Tramèr

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
45
Citations
18304
World Ranking
432
National Ranking
5

Computer Science

D-Index
46
Citations
18768
World Ranking
6654
National Ranking
130

Florian Tramèr publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Florian Tramèr sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 79 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Florian Tramèr D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Florian Tramèr sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Florian Tramèr is affiliated with ETH Zurich in Switzerland and has a substantial research output primarily focused on computer science. Their work covers a wide spectrum of topics within the field, emphasizing artificial intelligence and privacy-preserving technologies.

The scientist has published extensively in top venues, with a significant number of papers appearing on arXiv (Cornell University), which accounts for 68 publications. Other notable venues include the Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, Foundations and Trends® in Machine Learning, the 2022 IEEE Symposium on Security and Privacy (SP), and the 2022 ACM Conference on Fairness, Accountability, and Transparency.

Their research is concentrated in the main field of computer science, with 136 publications, prominently within the subfield of artificial intelligence (112 publications). Additional subfields include computer vision and pattern recognition, signal processing, computer networks and communications, and radiology, nuclear medicine, and imaging.

Main topics addressed in their work include:

  • Adversarial Robustness in Machine Learning
  • Privacy-Preserving Technologies in Data
  • Topic Modeling
  • Cryptography and Data Security
  • Natural Language Processing Techniques
  • Advanced Malware Detection Techniques
  • Explainable Artificial Intelligence (XAI)

Frequent collaborators in Florian Tramèr's research are:

  • Nicholas Carlini (38 coauthored papers)
  • Matthew Jagielski (18 coauthored papers)
  • Milad Nasr (13 coauthored papers)
  • Javier Rando (12 coauthored papers)
  • Katherine Lee (10 coauthored papers)

Some notable papers include:

  • "Advances and Open Problems in Federated Learning," 2020, published in Foundations and Trends® in Machine Learning
  • "On the Opportunities and Risks of Foundation Models," 2021, published on arXiv (Cornell University)
  • "Membership Inference Attacks From First Principles," 2022, published at the 2022 IEEE Symposium on Security and Privacy (SP)
  • "Extracting Training Data from Large Language Models," 2020, published on arXiv (Cornell University)
  • "Quantifying Memorization Across Neural Language Models," 2022, published on arXiv (Cornell University)

Best Publications

  • Advances and Open Problems in Federated Learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Ensemble Adversarial Training: Attacks and Defenses

    Florian Tramèr;Alexey Kurakin;Nicolas Papernot;Ian J. Goodfellow

  • On the Opportunities and Risks of Foundation Models.

    Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

  • Stealing machine learning models via prediction APIs

    Florian Tramèr;Fan Zhang;Ari Juels;Michael K. Reiter

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • The Space of Transferable Adversarial Examples

    Florian Tramèr;Nicolas Papernot;Ian J. Goodfellow;Dan Boneh

  • Membership Inference Attacks From First Principles

    Unknown

  • On Adaptive Attacks to Adversarial Example Defenses

    Florian Tramer;Nicholas Carlini;Wieland Brendel;Aleksander Madry

  • Extracting Training Data from Large Language Models

    Nicholas Carlini;Florian Tramèr;Eric Wallace;Matthew Jagielski

  • Physical Adversarial Examples for Object Detectors

    Dawn Song;Kevin Eykholt;Ivan Evtimov;Earlence Fernandes

  • Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

    Florian Tramer;Dan Boneh

  • Adversarial Training and Robustness for Multiple Perturbations

    Florian Tramer;Dan Boneh

  • What Does it Mean for a Language Model to Preserve Privacy?

    Unknown

  • SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems

    Edward Chou;Florian Tramer;Giancarlo Pellegrino

  • Label-Only Membership Inference Attacks

    Christopher A. Choquette-Choo;Florian Tramer;Nicholas Carlini;Nicolas Papernot

  • FairTest: Discovering Unwarranted Associations in Data-Driven Applications

    Florian Tramer;Vaggelis Atlidakis;Roxana Geambasu;Daniel Hsu

  • Physical Adversarial Examples for Object Detectors

    Kevin Eykholt;Ivan Evtimov;Earlence Fernandes;Bo Li

  • Formal Abstractions for Attested Execution Secure Processors

    Rafael Pass;Elaine Shi;Florian Tramèr

  • SentiNet: Detecting Physical Attacks Against Deep Learning Systems

    Edward Chou;Florian Tramèr;Giancarlo Pellegrino;Dan Boneh

  • Sealed-Glass Proofs: Using Transparent Enclaves to Prove and Sell Knowledge

    Florian Tramer;Fan Zhang;Huang Lin;Jean-Pierre Hubaux

  • Differential Privacy with Bounded Priors: Reconciling Utility and Privacy in Genome-Wide Association Studies

    Florian Tramèr;Zhicong Huang;Jean-Pierre Hubaux;Erman Ayday

  • Enter the Hydra: Towards Principled Bug Bounties and Exploit-Resistant Smart Contracts

    Lorenz Breidenbach;Philip Daian;Florian Tramer;Ari Juels

Frequent Co-Authors

Dan Boneh
Dan Boneh Stanford University
Nicholas Carlini
Nicholas Carlini Google (United States)
Ari Juels
Ari Juels Cornell University
Nicolas Papernot
Nicolas Papernot University of Toronto
Jean-Pierre Hubaux
Jean-Pierre Hubaux École Polytechnique Fédérale de Lausanne
Dawn Song
Dawn Song University of California, Berkeley
Serge Vaudenay
Serge Vaudenay École Polytechnique Fédérale de Lausanne
Sanjam Garg
Sanjam Garg University of California, Berkeley
Tadayoshi Kohno
Tadayoshi Kohno University of Washington
Somesh Jha
Somesh Jha University of Wisconsin–Madison

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