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Computer Science

D-Index
45
Citations
8936
World Ranking
7162
National Ranking
3137

Overview

Anupam Datta is affiliated with Carnegie Mellon University in the United States, where their research primarily focuses on computer science with a significant body of work in artificial intelligence and its related domains. Their scholarly contributions span several key areas including explainable artificial intelligence (XAI), adversarial robustness in machine learning, and natural language processing techniques.

Datta's recent publications demonstrate a diverse set of research interests integrating both technical and applied topics. Notable papers include:

  • "Subgroups of patients with young-onset type 2 diabetes in India reveal insulin deficiency as a major driver" (2021, Diabetologia)
  • "Identifying and Mitigating the Security Risks of Generative AI" (2023, Foundations and Trends® in Privacy and Security)
  • "An Information-Theoretic Quantification of Discrimination with Exempt Features" (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • "Smoothed Geometry for Robust Attribution" (2020, arXiv (Cornell University))
  • "Cost-effectiveness analysis of low-dose prophylaxis versus on-demand treatment for moderate-to-severe hemophilia A in India" (2023, Hematology)

Their research outputs are published in a range of venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Diabetologia
  • Journal of Family Medicine and Primary Care
  • Asian Journal of Environment & Ecology
  • Foundations and Trends® in Privacy and Security

Datta collaborates regularly with several co-authors who have contributed to multiple publications, including:

  • Piotr Mardziel
  • Zifan Wang
  • Matt Fredrikson
  • Kaiji Lu
  • John C. Mitchell

Their research intersects multiple fields and subfields. Main areas of study encompass computer science with detailed focus areas including:

  • Artificial Intelligence
  • Endocrinology, Diabetes and Metabolism
  • Genetics
  • Surgery
  • Epidemiology

Among the specific topics covered in their work are:

  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Topic Modeling
  • Natural Language Processing Techniques
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Diabetes and associated disorders
  • Agricultural Economics and Practices

Best Publications

  • Automated Experiments on Ad Privacy Settings

    Amit Datta;Michael Carl Tschantz;Anupam Datta

  • Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems

    Anupam Datta;Shayak Sen;Yair Zick

  • TrustVisor: Efficient TCB Reduction and Attestation

    Jonathan M. McCune;Yanlin Li;Ning Qu;Zongwei Zhou

  • Privacy and contextual integrity: framework and applications

    A. Barth;A. Datta;J.C. Mitchell;H. Nissenbaum

  • Protocol Composition Logic (PCL)

    Anupam Datta;Ante Derek;John C. Mitchell;Arnab Roy

  • Gender Bias in Neural Natural Language Processing

    Kaiji Lu;Piotr Mardziel;Fangjing Wu;Preetam Amancharla

  • Differentially private data analysis of social networks via restricted sensitivity

    Jeremiah Blocki;Avrim Blum;Anupam Datta;Or Sheffet

  • Secure Protocol Composition

    Anupam Datta;Ante Derek;John C. Mitchell;Dusko Pavlovic

  • The Johnson-Lindenstrauss Transform Itself Preserves Differential Privacy

    Jeremiah Blocki;Avrim Blum;Anupam Datta;Or Sheffet

  • A derivation system and compositional logic for security protocols

    Anupam Datta;Ante Derek;John C. Mitchell;Dusko Pavlovic

  • Design, Implementation and Verification of an eXtensible and Modular Hypervisor Framework

    A. Vasudevan;S. Chaki;Limin Jia;J. McCune

  • A modular correctness proof of IEEE 802.11i and TLS

    Changhua He;Mukund Sundararajan;Anupam Datta;Ante Derek

  • Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos

    R. S. Feris;B. Siddiquie;J. Petterson;Yun Zhai

  • A Logic of Secure Systems and its Application to Trusted Computing

    Anupam Datta;Jason Franklin;Deepak Garg;Dilsun Kaynar

  • Probabilistic polynomial-time semantics for a protocol security logic

    Anupam Datta;Ante Derek;John C. Mitchell;Vitaly Shmatikov

  • Privacy and Utility in Business Processes

    A. Barth;J. Mitchell;A. Datta;S. Sundaram

  • Machine learning explainability in finance: an application to default risk analysis

    Philippe Bracke;Anupam Datta;Carsten Jung;Shayak Sen

  • Policy auditing over incomplete logs: theory, implementation and applications

    Deepak Garg;Limin Jia;Anupam Datta

  • Flow distribution in parallel and reverse flow manifolds

    A.B. Datta;A.K. Majumdar

  • Experiences in the logical specification of the HIPAA and GLBA privacy laws

    Henry DeYoung;Deepak Garg;Limin Jia;Dilsun Kaynar

  • Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination

    Amit Datta;Michael Carl Tschantz;Anupam Datta

  • Algorithmic Transparency via Quantitative Input Influence

    Anupam Datta;Shayak Sen;Yair Zick

  • A Logic of Secure Systems and its Application to Trusted Computing (CMU-CyLab-09-001)

    Anupam Datta;Jason Franklin;Deepak Garg;Dilsun Kaynar

Frequent Co-Authors

John C. Mitchell
John C. Mitchell Stanford University
Nicolas Christin
Nicolas Christin Carnegie Mellon University
Sagar Chaki
Sagar Chaki Siemens (United States)
Jonathan M. McCune
Jonathan M. McCune Google (United States)
Jeannette M. Wing
Jeannette M. Wing Columbia University
Manuel Blum
Manuel Blum Carnegie Mellon University
Ariel D. Procaccia
Ariel D. Procaccia Harvard University
Helen Nissenbaum
Helen Nissenbaum Cornell University
Adrian Perrig
Adrian Perrig ETH Zurich
Bogdan Warinschi
Bogdan Warinschi University of Bristol

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