D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Electronics and Electrical Engineering D-index 61 Citations 18,949 353 World Ranking 880 National Ranking 415
Computer Science D-index 66 Citations 26,343 435 World Ranking 1429 National Ranking 803

Research.com Recognitions

Awards & Achievements

2008 - IEEE Fellow For contributions to statistical signal processing in communication systems and networks

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Statistics
  • Artificial intelligence

His primary areas of study are Computer network, Algorithm, Artificial intelligence, Adversarial system and Estimation theory. Ananthram Swami has included themes like Wireless, Throughput, Sensor node and Markov process in his Computer network study. His Markov process study combines topics in areas such as Cognitive radio and Frequency allocation.

His Algorithm research integrates issues from Electronic engineering, Antenna array, Delay spread and Uniqueness. In his study, Sample, Adversary and Malware is inextricably linked to Machine learning, which falls within the broad field of Artificial intelligence. His Estimation theory study integrates concerns from other disciplines, such as Estimator, Mathematical optimization and Applied mathematics.

His most cited work include:

  • The Limitations of Deep Learning in Adversarial Settings (1805 citations)
  • Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework (1544 citations)
  • Practical Black-Box Attacks against Machine Learning (1521 citations)

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

Ananthram Swami mainly investigates Algorithm, Computer network, Communication channel, Distributed computing and Mathematical optimization. Ananthram Swami studied Algorithm and Estimator that intersect with Applied mathematics. The study incorporates disciplines such as Cognitive radio, Wireless network and Throughput in addition to Computer network.

His research integrates issues of Electronic engineering and Synchronization in his study of Communication channel. His Distributed computing research is multidisciplinary, incorporating perspectives in Node, Network topology, Wireless sensor network and Wireless ad hoc network. His research on Mathematical optimization frequently links to adjacent areas such as Estimation theory.

He most often published in these fields:

  • Algorithm (20.46%)
  • Computer network (18.16%)
  • Communication channel (15.86%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (9.20%)
  • Machine learning (4.83%)
  • Theoretical computer science (6.90%)

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

His primary areas of investigation include Artificial intelligence, Machine learning, Theoretical computer science, Adversarial system and Distributed computing. His Artificial intelligence study incorporates themes from Flow and Algorithm. The Machine learning study combines topics in areas such as Sample, Training set, Malware and Feature extraction.

His Adversarial system research incorporates elements of Adversary, Robustness and Real time video. His Distributed computing research is multidisciplinary, incorporating elements of Mobile ad hoc network, Network topology, Computer network, Interdependent networks and Optimization problem. Ananthram Swami works in the field of Deep learning, focusing on Adversarial machine learning in particular.

Between 2015 and 2021, his most popular works were:

  • The Limitations of Deep Learning in Adversarial Settings (1805 citations)
  • Practical Black-Box Attacks against Machine Learning (1521 citations)
  • Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks (1458 citations)

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

The Limitations of Deep Learning in Adversarial Settings

Nicolas Papernot;Patrick McDaniel;Somesh Jha;Matt Fredrikson.
ieee european symposium on security and privacy (2016)

2864 Citations

Practical Black-Box Attacks against Machine Learning

Nicolas Papernot;Patrick McDaniel;Ian Goodfellow;Somesh Jha.
computer and communications security (2017)

2316 Citations

Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks

Nicolas Papernot;Patrick McDaniel;Xi Wu;Somesh Jha.
ieee symposium on security and privacy (2016)

2214 Citations

Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework

Qing Zhao;Lang Tong;Ananthram Swami;Yunxia Chen.
IEEE Journal on Selected Areas in Communications (2007)

2028 Citations

metapath2vec: Scalable Representation Learning for Heterogeneous Networks

Yuxiao Dong;Nitesh V. Chawla;Ananthram Swami.
knowledge discovery and data mining (2017)

1391 Citations

Hierarchical digital modulation classification using cumulants

A. Swami;B.M. Sadler.
IEEE Transactions on Communications (2000)

1320 Citations

A Survey on Trust Management for Mobile Ad Hoc Networks

Jin-Hee Cho;A. Swami;Ing-Ray Chen.
IEEE Communications Surveys and Tutorials (2011)

939 Citations

Joint Design and Separation Principle for Opportunistic Spectrum Access in the Presence of Sensing Errors

Yunxia Chen;Qing Zhao;A. Swami.
IEEE Transactions on Information Theory (2008)

509 Citations

Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples.

Nicolas Papernot;Patrick D. McDaniel;Ian J. Goodfellow;Somesh Jha.
arXiv: Cryptography and Security (2016)

475 Citations

Decentralized cognitive mac for dynamic spectrum access

Q. Zhao;L. Tong;A. Swami.
First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005. (2005)

457 Citations

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