D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 37 Citations 8,624 144 World Ranking 5292 National Ranking 2604

Research.com Recognitions

Awards & Achievements

2017 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • The Internet
  • Artificial intelligence

Computer security, Social network, Artificial intelligence, Machine learning and Computer network are his primary areas of study. His research in Computer security intersects with topics in Adversarial system and Internet privacy. He combines subjects such as Network topology, Data mining and Data science with his study of Social network.

His Artificial intelligence research incorporates elements of Network science and Dynamic network analysis. His research integrates issues of Evolving networks and Bridge in his study of Machine learning. His Traffic analysis, Access control and IP forwarding study in the realm of Computer network interacts with subjects such as Attribute-based encryption.

His most cited work include:

  • Advances and Open Problems in Federated Learning (571 citations)
  • SybilInfer: Detecting Sybil Nodes using Social Networks. (398 citations)
  • EASiER: encryption-based access control in social networks with efficient revocation (348 citations)

What are the main themes of his work throughout his whole career to date?

Prateek Mittal mainly investigates Computer security, Artificial intelligence, Adversary, Machine learning and Computer network. His Computer security research incorporates themes from Denial-of-service attack, Internet privacy and Social network. His Social network research is multidisciplinary, incorporating perspectives in Sybil attack and Data science.

His Adversary study combines topics from a wide range of disciplines, such as Network topology and Theoretical computer science. His biological study spans a wide range of topics, including Inference and Data mining. In general Computer network, his work in Guard is often linked to Relay linking many areas of study.

He most often published in these fields:

  • Computer security (30.61%)
  • Artificial intelligence (19.90%)
  • Adversary (17.86%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (19.90%)
  • Robustness (11.73%)
  • Machine learning (15.82%)

In recent papers he was focusing on the following fields of study:

His main research concerns Artificial intelligence, Robustness, Machine learning, Computer security and Computer network. His Robustness research integrates issues from Adversarial system and Image. His Machine learning research is multidisciplinary, relying on both Key, Traffic analysis and Identification.

His work in Computer security covers topics such as Differential privacy which are related to areas like Secure multi-party computation. Prateek Mittal has included themes like Adversary and Obfuscation in his Computer network study. His Adversary research includes themes of Routing, Software deployment, IP forwarding, Backdoor and Probabilistic logic.

Between 2019 and 2021, his most popular works were:

  • Advances and Open Problems in Federated Learning (28 citations)
  • HYDRA: Pruning Adversarially Robust Neural Networks (16 citations)
  • RobustBench: a standardized adversarial robustness benchmark (15 citations)

In his most recent research, the most cited papers focused on:

  • Computer network
  • The Internet
  • Artificial intelligence

His primary areas of investigation include Artificial intelligence, Machine learning, Deep learning, Robustness and Inference. His Machine learning study frequently links to related topics such as Adversary. His Adversary research is multidisciplinary, incorporating elements of Inference attack, Backdoor, Probabilistic logic, Entropy and Generalization error.

His research in Robustness focuses on subjects like Adversarial system, which are connected to Receptive field and Pattern recognition. His study in Inference is interdisciplinary in nature, drawing from both Normalization, Computer network and Complex network. Prateek Mittal has researched Computer network in several fields, including Information technology and Abort.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Advances and Open Problems in Federated Learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet.
Foundations and Trends® in Machine Learning (2021)

603 Citations

Advances and Open Problems in Federated Learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet.
arXiv: Learning (2019)

585 Citations

SybilInfer: Detecting Sybil Nodes using Social Networks.

George Danezis;Prateek Mittal.
network and distributed system security symposium (2009)

577 Citations

EASiER: encryption-based access control in social networks with efficient revocation

Sonia Jahid;Prateek Mittal;Nikita Borisov.
computer and communications security (2011)

561 Citations

BotGrep: finding P2P bots with structured graph analysis

Shishir Nagaraja;Prateek Mittal;Chi-Yao Hong;Matthew Caesar.
usenix security symposium (2010)

302 Citations

Analyzing Federated Learning through an Adversarial Lens

Arjun Nitin Bhagoji;Supriyo Chakraborty;Prateek Mittal;Seraphin B. Calo.
international conference on machine learning (2019)

254 Citations

Evolution of social-attribute networks: measurements, modeling, and implications using google+

Neil Zhenqiang Gong;Wenchang Xu;Ling Huang;Prateek Mittal.
internet measurement conference (2012)

208 Citations

BlackIoT: IoT botnet of high wattage devices can disrupt the power grid

Saleh Soltan;Prateek Mittal;H. Vincent Poor.
usenix security symposium (2018)

189 Citations

Denial of service or denial of security

Nikita Borisov;George Danezis;Prateek Mittal;Parisa Tabriz.
computer and communications security (2007)

187 Citations

DARTS: Deceiving Autonomous Cars with Toxic Signs

Chawin Sitawarin;Arjun Nitin Bhagoji;Arsalan Mosenia;Mung Chiang.
arXiv: Cryptography and Security (2018)

180 Citations

Best Scientists Citing Prateek Mittal

Mehdi Bennis

Mehdi Bennis

University of Oulu

Publications: 28

Emiliano De Cristofaro

Emiliano De Cristofaro

University College London

Publications: 26

Ian Goldberg

Ian Goldberg

University of Waterloo

Publications: 25

George Danezis

George Danezis

University College London

Publications: 23

A. Salman Avestimehr

A. Salman Avestimehr

University of Southern California

Publications: 21

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 20

Ben Y. Zhao

Ben Y. Zhao

University of Chicago

Publications: 20

Nicholas Hopper

Nicholas Hopper

University of Minnesota

Publications: 20

Yongdae Kim

Yongdae Kim

Korea Advanced Institute of Science and Technology

Publications: 19

Paul Syverson

Paul Syverson

United States Naval Research Laboratory

Publications: 17

Gang Wang

Gang Wang

Shaanxi Normal University

Publications: 16

Adrian Perrig

Adrian Perrig

ETH Zurich

Publications: 16

J.J. Garcia-Luna-Aceves

J.J. Garcia-Luna-Aceves

University of California, Santa Cruz

Publications: 16

Peter Richtárik

Peter Richtárik

King Abdullah University of Science and Technology

Publications: 16

Elena Ferrari

Elena Ferrari

University of Insubria

Publications: 15

Hamed Haddadi

Hamed Haddadi

Imperial College London

Publications: 14

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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