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 33 Citations 5,679 130 World Ranking 6736 National Ranking 3196

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His main research concerns Robustness, Artificial neural network, MNIST database, Artificial intelligence and Theoretical computer science. His study in Robustness is interdisciplinary in nature, drawing from both Contextual image classification, Algorithm, Enhanced Data Rates for GSM Evolution and Computer security. He combines subjects such as Function, Rate of convergence, Estimator and Stochastic optimization with his study of Artificial neural network.

He has included themes like Importance sampling, Natural language processing, Classifier, Coordinate descent and Optimization problem in his MNIST database study. His research investigates the link between Artificial intelligence and topics such as Machine learning that cross with problems in Bilinear interpolation. His studies in Theoretical computer science integrate themes in fields like Adversarial system, Graph neural networks, Topology, Task and Perspective.

His most cited work include:

  • ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models (658 citations)
  • EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. (236 citations)
  • Is Robustness the Cost of Accuracy? – A Comprehensive Study on the Robustness of 18 Deep Image Classification Models (157 citations)

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

Pin-Yu Chen mainly focuses on Artificial intelligence, Robustness, Artificial neural network, Machine learning and Adversarial system. His Artificial intelligence study combines topics in areas such as Metric and Natural language processing. The study incorporates disciplines such as Adversary, Contextual image classification, MNIST database, Convolutional neural network and Algorithm in addition to Robustness.

His Artificial neural network research includes elements of Embedding and Bounded function. Pin-Yu Chen performs multidisciplinary study in the fields of Machine learning and Zeroth order via his papers. His Adversarial system research is multidisciplinary, incorporating elements of Computer security, Interpretability, Theoretical computer science and Deep neural networks.

He most often published in these fields:

  • Artificial intelligence (37.36%)
  • Robustness (31.14%)
  • Artificial neural network (23.08%)

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

  • Artificial intelligence (37.36%)
  • Robustness (31.14%)
  • Machine learning (20.88%)

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

His primary areas of investigation include Artificial intelligence, Robustness, Machine learning, Artificial neural network and Adversarial system. All of his Artificial intelligence and Deep learning, Contextual image classification, MNIST database, Image and Gradient descent investigations are sub-components of the entire Artificial intelligence study. His work carried out in the field of Robustness brings together such families of science as Smoothing, Adversary, Regularization, Sensitivity and Optimization problem.

His Interpretability and Transfer of learning study in the realm of Machine learning interacts with subjects such as Scalability and Zeroth order. His Artificial neural network research is multidisciplinary, incorporating perspectives in Network architecture, Backdoor, Bounded function, Range and Algorithm. His Adversarial system research includes themes of Computer security, Robotic arm and Navigation system.

Between 2019 and 2021, his most popular works were:

  • Adversarial T-shirt! Evading Person Detectors in A Physical World (31 citations)
  • Sign-OPT: A Query-Efficient Hard-label Adversarial Attack (25 citations)
  • Variational Quantum Circuits for Deep Reinforcement Learning (22 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Pin-Yu Chen spends much of his time researching Artificial intelligence, Robustness, Artificial neural network, Machine learning and Adversarial system. Many of his research projects under Artificial intelligence are closely connected to Detector with Detector, tying the diverse disciplines of science together. His research integrates issues of Contextual image classification and Algorithm, Optimization problem in his study of Robustness.

His Artificial neural network research incorporates themes from Network architecture, Backdoor and Rational design. His studies examine the connections between Machine learning and genetics, as well as such issues in Adversary, with regards to Natural gradient. His Adversarial system study which covers MNIST database that intersects with Interpretability, Directional derivative and Oracle.

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

ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models

Pin-Yu Chen;Huan Zhang;Yash Sharma;Jinfeng Yi.
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security (2017)

658 Citations

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples.

Pin-Yu Chen;Yash Sharma;Huan Zhang;Jinfeng Yi.
national conference on artificial intelligence (2017)

252 Citations

Is Robustness the Cost of Accuracy? – A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

Dong Su;Huan Zhang;Hongge Chen;Jinfeng Yi.
european conference on computer vision (2018)

231 Citations

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

Amit Dhurandhar;Pin-Yu Chen;Ronny Luss;Chun-Chen Tu.
neural information processing systems (2018)

196 Citations

Efficient Neural Network Robustness Certification with General Activation Functions

Huan Zhang;Tsui-Wei Weng;Pin-Yu Chen;Cho-Jui Hsieh.
neural information processing systems (2018)

194 Citations

Smart attacks in smart grid communication networks

Pin-Yu Chen;Shin-Ming Cheng;Kwang-Cheng Chen.
IEEE Communications Magazine (2012)

193 Citations

AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks

Chun-Chen Tu;Paishun Ting;Pin-Yu Chen;Sijia Liu.
national conference on artificial intelligence (2019)

169 Citations

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Vijay Arya;Rachel K. E. Bellamy;Pin-Yu Chen;Amit Dhurandhar.
arXiv: Artificial Intelligence (2019)

152 Citations

On Modeling Malware Propagation in Generalized Social Networks

Shin-Ming Cheng;Weng Chon Ao;Pin-Yu Chen;Kwang-Cheng Chen.
IEEE Communications Letters (2011)

128 Citations

Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Minhao Cheng;Thong Le;Pin-Yu Chen;Jinfeng Yi.
arXiv: Learning (2018)

127 Citations

Best Scientists Citing Pin-Yu Chen

Cho-Jui Hsieh

Cho-Jui Hsieh

University of California, Los Angeles

Publications: 68

Huan Zhang

Huan Zhang

University of California, Los Angeles

Publications: 41

Jun Zhu

Jun Zhu

Tsinghua University

Publications: 26

Kwang-Cheng Chen

Kwang-Cheng Chen

University of South Florida

Publications: 23

Martin Vechev

Martin Vechev

ETH Zurich

Publications: 21

Yuval Elovici

Yuval Elovici

Ben-Gurion University of the Negev

Publications: 18

Dawn Song

Dawn Song

University of California, Berkeley

Publications: 17

Matthias Hein

Matthias Hein

Ilmenau University of Technology

Publications: 17

Asaf Shabtai

Asaf Shabtai

Ben-Gurion University of the Negev

Publications: 15

Yang Liu

Yang Liu

Nanyang Technological University

Publications: 15

J. Zico Kolter

J. Zico Kolter

Carnegie Mellon University

Publications: 14

Yanzhi Wang

Yanzhi Wang

Northeastern University

Publications: 14

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

Publications: 14

Richa Singh

Richa Singh

Indian Institute of Technology Jodhpur

Publications: 13

Bernard Ghanem

Bernard Ghanem

King Abdullah University of Science and Technology

Publications: 13

Jelena Kovacevic

Jelena Kovacevic

New York University

Publications: 13

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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