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Kaushik Roy
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Kaushik Roy 0001
— Purdue University, West Lafayette, IN, USA
- Kaushik Roy 0002 — North Carolina A&T State University, Cyber Defense and AI Lab, Department of Computer Science, Greensboro, NC, USA (and 1 more)
- Kaushik Roy 0003
— North Carolina State University, Raleigh, NC, USA
- Kaushik Roy 0004 — West Bengal State University, Barasat, India
- Kaushik Roy 0005 — RV College of Engineering, Bangalore, India
- Kaushik Roy 0006 — University of Windsor, Canada
- Kaushik Roy 0007 — Stanford University, Stanford, CA, USA
- Kaushik Roy 0008
— Sungkyunkwan University, MOPIC, R&B Center, Suwon-si, South Korea (and 1 more)
- Kaushik Roy 0009
— University of South Carolina, Department of computer science, AI Institute, Columbia, SC, USA
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2020 – today
- 2025
- [c11]Shristi Das Biswas, Matthew Shreve, Xuelu Li, Prateek Singhal, Kaushik Roy:
PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery. AAAI 2025: 2663-2671 - [c10]Rami Darwish
, Kaushik Roy:
Comparative Analysis of Federated Learning, Deep Learning, and Traditional Machine Learning Techniques for IoT Malware Detection. ICAIC 2025: 1-10 - [c9]Daniel Machooka, Xiaohong Yuan, Kaushik Roy, Guenvere Chen:
Differential Privacy with DP-SGD and PATE for Intrusion Detection: A Comparative Study. ICAIC 2025: 1-7 - [i7]Shristi Das Biswas, Matthew Shreve, Xuelu Li, Prateek Singhal, Kaushik Roy:
PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery. CoRR abs/2501.09826 (2025) - 2024
- [c8]Sanaullah
, Kaushik Roy, Ulrich Rückert, Thorsten Jungeblut
:
Poster: Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing*. ICDCS 2024: 1452-1453 - [c7]Raihana Tasnim, Kaushik Roy, Madhuri Siddula:
Interpretable Deep Learning Model for Multiclass Brain Tumor Classification. ICMLA 2024: 1412-1417 - [c6]Olusola Tolulope Odeyomi, Austin Smith, Adrienne Whitmore, Oluwadoyinsola Ige, Kaushik Roy:
Personalized Online Federated Learning With Differential Privacy in Constrained Environments: A Meta-Learning Approach. MILCOM 2024: 993-998 - [i6]Sanaullah
, Kaushik Roy, Ulrich Rückert, Thorsten Jungeblut
:
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. CoRR abs/2407.08861 (2024) - [i5]Narendra Singh Dhakad, Yuvnish Malhotra, Santosh Kumar Vishvakarma, Kaushik Roy:
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI. CoRR abs/2407.21370 (2024) - [i4]Yinghan Long, Kaushik Roy:
Panoptic Diffusion Models: co-generation of images and segmentation maps. CoRR abs/2412.02929 (2024) - [i3]Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang:
ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals. CoRR abs/2412.14363 (2024) - 2023
- [c5]Arihant Singh
, Kaushik Roy:
BLB-GAFS: An Efficient, Multi-Objective Genetic Algorithm Based Feature Selection Method for Intrusion Detection Systems. SSCI 2023: 856-861 - 2021
- [i2]Nathan Dolbir, Triyasha Ghosh Dastidar, Kaushik Roy:
NLP is Not enough - Contextualization of User Input in Chatbots. CoRR abs/2105.06511 (2021) - 2020
- [c4]Sarah Aljbali, Kaushik Roy:
Anomaly Detection Using Bidirectional LSTM. IntelliSys (1) 2020: 612-619 - [i1]Srijita Das, Sriraam Natarajan, Kaushik Roy, Ronald Parr, Kristian Kersting:
Fitted Q-Learning for Relational Domains. CoRR abs/2006.05595 (2020)
2010 – 2019
- 2018
- [c3]Sara A. Althubiti
, Eric Marcell Jones, Kaushik Roy:
LSTM for Anomaly-Based Network Intrusion Detection. ITNAC 2018: 1-3
2000 – 2009
- 2000
- [j2]Kaushik Roy, D. T. Lee:
Guest editorial: low-power electronics and design. IEEE Trans. Very Large Scale Integr. Syst. 8(3): 233-234 (2000)
1990 – 1999
- 1999
- [j1]Chuan-Yu Wang, Kaushik Roy:
An activity-driven encoding scheme for power optimization in microprogrammed control unit. IEEE Trans. Very Large Scale Integr. Syst. 7(1): 130-134 (1999) - 1997
- [c2]Kaushik Roy, Rabindra K. Roy, Ramesh Harjani, K. S. Murthy:
T5: Low-Power Design. VLSI Design 1997: 4 - 1996
- [c1]Kaushik Roy, R. K. Roy:
Low Power Design. VLSI Design 1996: 2
Coauthor Index

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