World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6127
World Ranking
11588
National Ranking
4759

Amir Houmansadr 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 Amir Houmansadr 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: 144 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Amir Houmansadr 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 Amir Houmansadr 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Amir Houmansadr is affiliated with the University of Massachusetts Amherst in the United States. Their primary field of research is Computer Science, with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, and Computer Networks and Communications among other subfields.

The scientist's recent publications include the following:

  • Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning, 2022, 2022 IEEE Symposium on Security and Privacy (SP)
  • Membership Privacy for Machine Learning Models Through Knowledge Transfer, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising, 2020, arXiv (Cornell University)
  • Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture, 2021, arXiv (Cornell University)
  • FINN: Fingerprinting Network Flows using Neural Networks, 2021, Annual Computer Security Applications Conference

Frequent co-authors of Amir Houmansadr include:

  • Dennis Goeckel (11 coauthored works)
  • Ali Naseh (10 coauthored works)
  • Virat Shejwalkar (9 coauthored works)
  • Hossein Pishro-Nik (8 coauthored works)
  • Yuefeng Peng (8 coauthored works)

The main publication venues for their work include:

  • arXiv (Cornell University) with 39 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 2 publications
  • IEEE Internet of Things Journal with 2 publications
  • 2022 IEEE Symposium on Security and Privacy (SP) with 1 publication
  • Annual Computer Security Applications Conference with 1 publication

Amir Houmansadr's research covers several major topics, including:

  • Privacy-Preserving Technologies in Data
  • Adversarial Robustness in Machine Learning
  • Internet Traffic Analysis and Secure E-voting
  • Network Security and Intrusion Detection
  • Cryptography and Data Security
  • Advanced Malware Detection Techniques
  • Topic Modeling

The scientist's work primarily focuses on enhancing data privacy and developing secure machine learning techniques. Projects involve investigating poisoning attacks on federated learning, membership privacy methods, and mechanisms for mitigating inference attacks through model architectures. Their contributions span both theoretical and applied aspects within cybersecurity and artificial intelligence domains.

Best Publications

  • Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

    Milad Nasr;Reza Shokri;Amir Houmansadr

  • Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

    Milad Nasr;Reza Shokri;Amir Houmansadr

  • Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning.

    Virat Shejwalkar;Amir Houmansadr

  • Machine Learning with Membership Privacy using Adversarial Regularization

    Milad Nasr;Reza Shokri;Amir Houmansadr

  • Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning

    Unknown

  • The Parrot Is Dead: Observing Unobservable Network Communications

    A. Houmansadr;C. Brubaker;V. Shmatikov

  • RAINBOW: A Robust And Invisible Non-Blind Watermark for Network Flows.

    Amir Houmansadr;Negar Kiyavash;Nikita Borisov

  • Cirripede: circumvention infrastructure using router redirection with plausible deniability

    Amir Houmansadr;Giang T.K. Nguyen;Matthew Caesar;Nikita Borisov

  • Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.

    Milad Nasr;Reza Shokri;Amir Houmansadr

  • Information Hiding in Communication Networks: Fundamentals, Mechanisms, Applications, and Countermeasures

    Wojciech Mazurczyk;Steffen Wendzel;Sebastian Zander;Amir Houmansadr

  • A cloud-based intrusion detection and response system for mobile phones

    Amir Houmansadr;Saman A. Zonouz;Robin Berthier

  • Stegobot: a covert social network botnet

    Shishir Nagaraja;Amir Houmansadr;Pratch Piyawongwisal;Vijit Singh

  • Secloud: A cloud-based comprehensive and lightweight security solution for smartphones

    Saman Zonouz;Amir Houmansadr;Robin Berthier;Nikita Borisov

  • SWIRL: A Scalable Watermark to Detect Correlated Network Flows.

    Amir Houmansadr;Nikita Borisov

  • I want my voice to be heard: IP over Voice-over-IP for unobservable censorship circumvention.

    Amir Houmansadr;Thomas J. Riedl;Nikita Borisov;Andrew C. Singer

  • Multi-flow attacks against network flow watermarking schemes

    Negar Kiyavash;Amir Houmansadr;Nikita Borisov

  • DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning

    Milad Nasr;Alireza Bahramali;Amir Houmansadr

  • CensorSpoofer: asymmetric communication using IP spoofing for censorship-resistant web browsing

    Qiyan Wang;Xun Gong;Giang T.K. Nguyen;Amir Houmansadr

  • Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer.

    Hongyan Chang;Virat Shejwalkar;Reza Shokri;Amir Houmansadr

  • Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems

    Alireza Bahramali;Milad Nasr;Amir Houmansadr;Dennis Goeckel

  • Membership Privacy for Machine Learning Models Through Knowledge Transfer.

    Virat Shejwalkar;Amir Houmansadr

  • Membership Privacy for Machine Learning Models Through Knowledge Transfer

    Virat Shejwalkar;Amir Houmansadr

  • CloudTransport: Using Cloud Storage for Censorship-Resistant Networking

    Chad Brubaker;Chad Brubaker;Amir Houmansadr;Vitaly Shmatikov

  • CoCo: coding-based covert timing channels for network flows

    Amir Houmansadr;Nikita Borisov

  • Compressive Traffic Analysis: A New Paradigm for Scalable Traffic Analysis

    Milad Nasr;Amir Houmansadr;Arya Mazumdar

Frequent Co-Authors

Nikita Borisov
Nikita Borisov University of Illinois at Urbana-Champaign
Dennis Goeckel
Dennis Goeckel University of Massachusetts Amherst
Wojciech Mazurczyk
Wojciech Mazurczyk Warsaw University of Technology
Reza Shokri
Reza Shokri National University of Singapore
Don Towsley
Don Towsley University of Massachusetts Amherst
Vitaly Shmatikov
Vitaly Shmatikov Cornell University
Matthew Caesar
Matthew Caesar University of Illinois at Urbana-Champaign
Nick Feamster
Nick Feamster University of Chicago
Andrew C. Singer
Andrew C. Singer University of Illinois at Urbana-Champaign
Thomas Riedl
Thomas Riedl University of Wuppertal

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