Publications

2026

1. ICPR

   ImageNet-LC: A Benchmark for Object-Centric Robustness under Localized Corruptions

   Subrat Kumar Swain, Siddharth Gupta, and others

   In International Conference on Pattern Recognition (ICPR), 2026

   [CORE B]

   Abs Bib

   We introduce ImageNet-LC, a benchmark for evaluating object-centric robustness of vision models under localized corruptions.

   @inproceedings{swain2026imagenet,
     title = {{ImageNet-LC}: A Benchmark for Object-Centric Robustness under Localized Corruptions},
     author = {Swain, Subrat Kumar and Gupta, Siddharth and others},
     booktitle = {International Conference on Pattern Recognition (ICPR)},
     year = {2026},
     note = {[CORE B]}
   }

2. EuroS&P-W

   G2AP: Gradient-Guided Adversarial Perturbation in Network Security

   Subrat Kumar Swain, Vishal Maurya, Dan D. Kim, and 1 more author

   In IEEE European Symposium on Security and Privacy Workshops (EuroS&P-W), 2026

   [CORE A]

   Abs Bib

   We propose G2AP, a gradient-guided adversarial perturbation framework for attacking network security systems.

   @inproceedings{swain2026g2ap,
     title = {{G2AP}: Gradient-Guided Adversarial Perturbation in Network Security},
     author = {Swain, Subrat Kumar and Maurya, Vishal and Kim, Dan D. and Kumar, Vireshwar},
     booktitle = {IEEE European Symposium on Security and Privacy Workshops (EuroS\&P-W)},
     year = {2026},
     note = {[CORE A]}
   }

3. AsiaCCS

   GhosTurb: Practical Adversarial Perturbation Framework for IoT Networks

   Subrat Kumar Swain and others

   2026

   Submitted to AsiaCCS 2026

   Abs Bib

   GhosTurb is a practical adversarial perturbation framework targeting IoT network security.

   @article{swain2026ghosturb,
     title = {{GhosTurb}: Practical Adversarial Perturbation Framework for {IoT} Networks},
     author = {Swain, Subrat Kumar and others},
     year = {2026},
     note = {Submitted to AsiaCCS 2026}
   }

2024

1. DSN

   PANDA: Practical Adversarial Attack Against Network Intrusion Detection

   Subrat Kumar Swain, Vireshwar Kumar, Guangdong Bai, and 1 more author

   In International Conference on Dependable Systems and Networks (DSN), 2024

   [CORE A]

   Abs Bib

   We present PANDA, a practical adversarial attack framework targeting network intrusion detection systems, demonstrating the real-world vulnerability of ML-based security systems.

   @inproceedings{swain2024panda,
     title = {{PANDA}: Practical Adversarial Attack Against Network Intrusion Detection},
     author = {Swain, Subrat Kumar and Kumar, Vireshwar and Bai, Guangdong and Kim, Dan D.},
     booktitle = {International Conference on Dependable Systems and Networks (DSN)},
     year = {2024},
     note = {[CORE A]}
   }

2023

1. ECAI

   SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples

   Subrat Kumar Swain, Vireshwar Kumar, Dan D. Kim, and 1 more author

   In European Conference on Artificial Intelligence (ECAI), 2023

   [CORE A]

   Abs Bib

   We propose SPAT, a semantic-preserving adversarial transformation that generates perceptually similar adversarial examples while preserving the semantic content of the original input.

   @inproceedings{swain2023spat,
     title = {{SPAT}: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples},
     author = {Swain, Subrat Kumar and Kumar, Vireshwar and Kim, Dan D. and Bai, Guangdong},
     booktitle = {European Conference on Artificial Intelligence (ECAI)},
     year = {2023},
     note = {[CORE A]}
   }

2020

1. Measurement

   Deep Learning and Wavelet Transform Integrated Approach for Short-term Solar PV Power Prediction

   M. Mishra, P. B. Dash, J. Nayak, and 1 more author

   Measurement, 2020

   [IF: 5.131]

   Abs Bib

   This paper presents an integrated approach using deep learning and wavelet transform for accurate short-term solar PV power prediction.

   @article{mishra2020deep,
     title = {Deep Learning and Wavelet Transform Integrated Approach for Short-term Solar {PV} Power Prediction},
     author = {Mishra, M. and Dash, P. B. and Nayak, J. and Swain, Subrat Kumar},
     journal = {Measurement},
     year = {2020},
     publisher = {Elsevier},
     note = {[IF: 5.131]}
   }