Saurabh Agarwal

Orcid: 0009-0009-4880-0289

According to our database1, Saurabh Agarwal authored at least 57 papers between 2000 and 2024.

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Bibliography

2024
CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment.
IEEE Trans. Medical Imaging, December, 2024

A systematic scrutiny of artificial intelligence-based air pollution prediction techniques, challenges, and viable solutions.
J. Big Data, December, 2024

MultiFusionNet: multilayer multimodal fusion of deep neural networks for chest X-ray image classification.
Soft Comput., October, 2024

Image operator forensics and sequence estimation using robust deep neural network.
Multim. Tools Appl., May, 2024

Forensic analysis and detection using polycolor model binary pattern for colorized images.
Multim. Tools Appl., April, 2024

Integration of Edge-AI Into IoT-Cloud Architecture for Landslide Monitoring and Prediction.
IEEE Trans. Ind. Informatics, March, 2024

Digital image steganalysis using entropy driven deep neural network.
J. Inf. Secur. Appl., 2024

Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition.
CoRR, 2024

Decoding Speculative Decoding.
CoRR, 2024

A Dynamic and Incremental Graphical Grid Authentication Technique for Mobile and Web Applications.
IEEE Access, 2024

Enhancing User Trust and Interpretability in AI-Driven Feature Request Detection for Mobile App Reviews: An Explainable Approach.
IEEE Access, 2024

A Fast and Efficient 191-bit Elliptic Curve Cryptographic Processor Using a Hybrid Karatsuba Multiplier for IoT Applications.
IEEE Access, 2024

CHAI: Clustered Head Attention for Efficient LLM Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Blox: A Modular Toolkit for Deep Learning Schedulers.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Exploring Symmetry in Digital Image Forensics Using a Lightweight Deep-Learning Hybrid Model for Multiple Smoothing Operators.
Symmetry, December, 2023

Detecting Images in Two-Operator Series Manipulation: A Novel Approach Using Transposed Convolution and Information Fusion.
Symmetry, October, 2023

Reversible data hiding in encrypted image using two-pass pixel value ordering.
J. Inf. Secur. Appl., August, 2023

Median filtering detection using optimal multi-direction threshold on higher-order difference pixels.
Multim. Tools Appl., 2023

FakedBits- Detecting Fake Information on Social Platforms using Multi-Modal Features.
KSII Trans. Internet Inf. Syst., 2023

Bagpipe: Accelerating Deep Recommendation Model Training.
Proceedings of the 29th Symposium on Operating Systems Principles, 2023

Cuttlefish: Low-Rank Model Training without All the Tuning.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2022
Using XAI for Deep Learning-Based Image Manipulation Detection with Shapley Additive Explanation.
Symmetry, 2022

Median filtering forensics based on optimum thresholding for low-resolution compressed images.
Multim. Tools Appl., 2022

BagPipe: Accelerating Deep Recommendation Model Training.
CoRR, 2022

On the Utility of Gradient Compression in Distributed Training Systems.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning.
CoRR, 2021

Pufferfish: Communication-efficient Models At No Extra Cost.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Adaptive Gradient Communication via Critical Learning Regime Identification.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Image Forensics using Optimal Normalization in Challenging Environment.
Proceedings of the International Conference on Electronics, Information, and Communication, 2021

2020
Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification.
CoRR, 2020

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Regularized Graph Convolutional Networks for Short Text Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks.
J. Digit. Imaging, 2019

Scalable K-Medoids via True Error Bound and Familywise Bandits.
CoRR, 2019

2018
Graph based Question Answering System.
CoRR, 2018

Potential and Sampling Based RRT Star for Real-Time Dynamic Motion Planning Accounting for Momentum in Cost Function.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Highly integrated wavelength-locked Si photonic ring transmitter using direct monitoring of drop-port OMA.
Proceedings of the 43rd IEEE European Solid State Circuits Conference, 2017

2016
SPAM revisited for median filtering detection using higher-order difference.
Secur. Commun. Networks, 2016

Wavelength Locking of a Si Ring Modulator Using an Integrated Drop-Port OMA Monitoring Circuit.
IEEE J. Solid State Circuits, 2016

Wavelength locking of a Si photonic ring transmitter using a dithering-based OMA stabilizing feedback loop.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016

Image forgery detection using Markov features in undecimated wavelet transform.
Proceedings of the Ninth International Conference on Contemporary Computing, 2016

2015
Framework for Application Mapping over Packet-Switched Network of FPGAs: Case Studies.
CoRR, 2015

A Novel Approach to Develop a New Hybrid Technique for Trademark Image Retrieval.
CoRR, 2015

Wavelength locking of a Si ring modulator using an integrated drop-port OMA monitoring circuit.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2015

2014
Monitoring optical modulation amplitude using a low-power CMOS circuit for thermal control of Si ring transmitters.
Proceedings of the European Conference on Optical Communication, 2014

Distributed event notification in VANET with multiple service providers.
Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems, 2014

2007
Performance Comparison of Coscheduling Algorithms for Non-Dedicated Clusters Through a Generic Framework.
Int. J. High Perform. Comput. Appl., 2007

2006
Recovery-Based Real-Time Static Scheduling for Battery Life Optimization.
Proceedings of the 19th International Conference on VLSI Design (VLSI Design 2006), 2006

A New GCD Algorithm for Quadratic Number Rings with Unique Factorization.
Proceedings of the LATIN 2006: Theoretical Informatics, 2006

Asymptotically Optimal Two-Round Perfectly Secure Message Transmission.
Proceedings of the Advances in Cryptology, 2006

2005
The Impact of Noise on the Scaling of Collectives: A Theoretical Approach.
Proceedings of the High Performance Computing, 2005

2004
Adaptive incremental checkpointing for massively parallel systems.
Proceedings of the 18th Annual International Conference on Supercomputing, 2004

Binary GCD Like Algorithms for Some Complex Quadratic Rings.
Proceedings of the Algorithmic Number Theory, 6th International Symposium, 2004

2003
Impact of Job Allocation Strategies on Communication-Driven Coscheduling in Clusters.
Proceedings of the Euro-Par 2003. Parallel Processing, 2003

Co-Ordinated Coscheduling in Time-Sharing Clusters through a Generic Framework.
Proceedings of the 2003 IEEE International Conference on Cluster Computing (CLUSTER 2003), 2003

2000
Compression Tolerant Watermarking for Image Verification.
Proceedings of the 2000 International Conference on Image Processing, 2000


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