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)
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