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D-Index & Metrics

Computer Science

D-Index
42
Citations
11031
World Ranking
8210
National Ranking
3522

Overview

Suman Jana is affiliated with Columbia University in the United States and specializes in the field of Computer Science. Their research broadly covers several subfields including Artificial Intelligence, Information Systems, Signal Processing, Software, and Control and Systems Engineering.

Their work engages with a variety of topics, including:

  • Advanced Malware Detection Techniques
  • Adversarial Robustness in Machine Learning
  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Lightning and Electromagnetic Phenomena
  • Advanced Neural Network Applications
  • Anomaly Detection Techniques and Applications

Suman Jana has contributed to numerous publications across notable venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • 2022 IEEE Symposium on Security and Privacy (SP)
  • IEEE Transactions on Software Engineering
  • IEEE Open Journal of the Computer Society

Selected recent papers authored or co-authored by Suman Jana include:

  • "Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers" (2020), arXiv (Cornell University)
  • "TrustLLM: Trustworthiness in Large Language Models" (2024), arXiv (Cornell University)
  • "Effective Seed Scheduling for Fuzzing with Graph Centrality Analysis" (2022), 2022 IEEE Symposium on Security and Privacy (SP)
  • "Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity" (2020), arXiv (Cornell University)
  • "Learning Approximate Execution Semantics From Traces for Binary Function Similarity" (2022), IEEE Transactions on Software Engineering

The scientist frequently collaborates with several co-authors including:

  • Dongdong She
  • Shiqi Wang
  • Baishakhi Ray
  • Cho-Jui Hsieh
  • Junfeng Yang

Best Publications

  • DeepTest: automated testing of deep-neural-network-driven autonomous cars

    Yuchi Tian;Kexin Pei;Suman Jana;Baishakhi Ray

  • DeepXplore: Automated Whitebox Testing of Deep Learning Systems

    Kexin Pei;Yinzhi Cao;Junfeng Yang;Suman Jana

  • On Fast and Accurate Detection of Unauthorized Wireless Access Points Using Clock Skews

    S. Jana;S.K. Kasera

  • Certified Robustness to Adversarial Examples with Differential Privacy

    Mathias Lecuyer;Vaggelis Atlidakis;Roxana Geambasu;Daniel Hsu

  • The most dangerous code in the world: validating SSL certificates in non-browser software

    Martin Georgiev;Subodh Iyengar;Suman Jana;Rishita Anubhai

  • On the effectiveness of secret key extraction from wireless signal strength in real environments

    Suman Jana;Sriram Nandha Premnath;Mike Clark;Sneha K. Kasera

  • High-Rate Uncorrelated Bit Extraction for Shared Secret Key Generation from Channel Measurements

    N. Patwari;J. Croft;S. Jana;S.K. Kasera

  • Secret Key Extraction from Wireless Signal Strength in Real Environments

    S. N. Premnath;S. Jana;J. Croft;P. L. Gowda

  • Formal Security Analysis of Neural Networks using Symbolic Intervals

    Shiqi Wang;Kexin Pei;Justin Whitehouse;Junfeng Yang

  • Efficient Formal Safety Analysis of Neural Networks

    Shiqi Wang;Kexin Pei;Justin Whitehouse;Junfeng Yang

  • Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations

    Chad Brubaker;Suman Jana;Baishakhi Ray;Sarfraz Khurshid

  • Memento: Learning Secrets from Process Footprints

    S. Jana;V. Shmatikov

  • NEUZZ: Efficient Fuzzing with Neural Program Smoothing

    Dongdong She;Kexin Pei;Dave Epstein;Junfeng Yang

  • A Scanner Darkly: Protecting User Privacy from Perceptual Applications

    S. Jana;A. Narayanan;V. Shmatikov

  • SlowFuzz: Automated Domain-Independent Detection of Algorithmic Complexity Vulnerabilities

    Theofilos Petsios;Jason Zhao;Angelos D. Keromytis;Suman Jana

  • TrustLLM: Trustworthiness in Large Language Models

    Unknown

  • Password managers: attacks and defenses

    David Silver;Suman Jana;Dan Boneh;Eric Chen

  • DeepXplore: automated whitebox testing of deep learning systems

    Kexin Pei;Yinzhi Cao;Junfeng Yang;Suman Jana

  • NEZHA: Efficient Domain-Independent Differential Testing

    Theofilos Petsios;Adrian Tang;Salvatore Stolfo;Angelos D. Keromytis

  • Breaking and Fixing Origin-Based Access Control in Hybrid Web/Mobile Application Frameworks.

    Martin Georgiev;Suman Jana;Vitaly Shmatikov

  • Enabling fine-grained permissions for augmented reality applications with recognizers

    Suman Jana;David Molnar;Alexander Moshchuk;Alan Dunn

  • MoonShine: Optimizing OS Fuzzer Seed Selection with Trace Distillation.

    Shankara Pailoor;Andrew Aday;Suman Jana

  • HYDRA: Pruning adversarially robust neural networks

    Vikash Sehwag;Shiqi Wang;Prateek Mittal;Suman Jana

Frequent Co-Authors

Junfeng Yang
Junfeng Yang Columbia University
Baishakhi Ray
Baishakhi Ray Columbia University
Vitaly Shmatikov
Vitaly Shmatikov Cornell University
Sneha Kumar Kasera
Sneha Kumar Kasera University of Utah
Daniel Hsu
Daniel Hsu Columbia University
Angelos D. Keromytis
Angelos D. Keromytis Georgia Institute of Technology
Prateek Mittal
Prateek Mittal Princeton University
Neal Patwari
Neal Patwari Washington University in St. Louis
Eyal Ofek
Eyal Ofek Microsoft (United States)
David Molnar
David Molnar Microsoft (United States)

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