Arun Balaji Buduru

Orcid: 0000-0002-6267-8138

According to our database1, Arun Balaji Buduru authored at least 53 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multi-View Multi-Task Modeling with Speech Foundation Models for Speech Forensic Tasks.
CoRR, 2024

SeQuiFi: Mitigating Catastrophic Forgetting in Speech Emotion Recognition with Sequential Class-Finetuning.
CoRR, 2024

Representation Loss Minimization with Randomized Selection Strategy for Efficient Environmental Fake Audio Detection.
CoRR, 2024

Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection.
CoRR, 2024

Strong Alone, Stronger Together: Synergizing Modality-Binding Foundation Models with Optimal Transport for Non-Verbal Emotion Recognition.
CoRR, 2024

Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models.
CoRR, 2024

Towards identifying Source credibility on Information Leakage in Digital Gadget Market.
CoRR, 2024

ASGIR: Audio Spectrogram Transformer Guided Classification And Information Retrieval For Birds.
CoRR, 2024

VoxMed: One-Step Respiratory Disease Classifier using Digital Stethoscope Sounds.
CoRR, 2024

AVR: Synergizing Foundation Models for Audio-Visual Humor Detection.
CoRR, 2024

Towards Multilingual Audio-Visual Question Answering.
CoRR, 2024

The Reasonable Effectiveness of Speaker Embeddings for Violence Detection.
CoRR, 2024

PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation.
CoRR, 2024

ComFeAT: Combination of Neural and Spectral Features for Improved Depression Detection.
CoRR, 2024

BB-Patch: BlackBox Adversarial Patch-Attack using Zeroth-Order Optimization.
CoRR, 2024

How Paralingual are Paralinguistic Representations? A Case Study in Speech Emotion Recognition.
CoRR, 2024

A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting.
CoRR, 2024

Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

FGA: Fourier-Guided Attention Network for Crowd Count Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Understanding Coordinated Communities through the Lens of Protest-Centric Narratives: A Case Study on #CAA Protest.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

SONIC: Synergizing Vision Foundation Models for Stress Recognition from ECG Signals.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Trauma lurking in the shadows: A Reddit case study of mental health issues in online posts about Childhood Sexual Abuse.
CoRR, 2023

A Comparative Study of Pre-trained Speech and Audio Embeddings for Speech Emotion Recognition.
CoRR, 2023

Transforming the Embeddings: A Lightweight Technique for Speech Emotion Recognition Tasks.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
A Tale of Two Sides: Study of Protesters and Counter-protesters on #CitizenshipAmendmentAct Campaign on Twitter.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

FAtNet: Cost-Effective Approach Towards Mitigating the Linguistic Bias in Speaker Verification Systems.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

CamPros at CASE 2022 Task 1: Transformer-based Multilingual Protest News Detection.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022

Understanding the Impact of Awards on Award Winners and the Community on Reddit.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

The Pursuit of Being Heard: An Unsupervised Approach to Narrative Detection in Online Protest.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

"A Virus Has No Religion": Analyzing Islamophobia on Twitter During the COVID-19 Outbreak.
Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

Truth and travesty intertwined: a case study of #SSR counterpublic campaign.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
imdpGAN: Generating Private and Specific Data with Generative Adversarial Networks.
Proceedings of the Second IEEE International Conference on Trust, 2020

Multi-objective Reinforcement Learning based approach for User-Centric Power Optimization in Smart Home Environments.
Proceedings of the IEEE International Conference on Smart Data Services, 2020

Fine-grained Language Identification with Multilingual CapsNet Model.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

Assessing risk of attacks in large networked system with Context Sensitive Probabilistic Modelling.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

Hashtags Are (Not) Judgemental: The Untold Story of Lok Sabha Elections 2019.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

2019
Making Smart Homes Smarter: Optimizing Energy Consumption with Human in the Loop.
CoRR, 2019

A Study of Black Box Adversarial Attacks in Computer Vision.
CoRR, 2019

Is change the only constant? Profile change perspective on #LokSabhaElections2019.
CoRR, 2019

Catching up with trends: The changing landscape of political discussions on twitter in 2014 and 2019.
CoRR, 2019

KidsGUARD: fine grained approach for child unsafe video representation and detection.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018
An approach to predictively securing critical cloud infrastructures through probabilistic modeling.
CoRR, 2018

Empowering First Responders through Automated Multimodal Content Moderation.
Proceedings of the 2018 IEEE International Conference on Cognitive Computing, 2018

Foresee: Attentive Future Projections of Chaotic Road Environments.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2016
An Adaptive Approach to Securing Ubiquitous Smart Devices in IoT Environment with Probabilistic User Behavior Prediction.
PhD thesis, 2016

Attack Detection in Cloud Infrastructures Using Artificial Neural Network with Genetic Feature Selection.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

2015
An Effective Approach to Continuous User Authentication for Touch Screen Smart Devices.
Proceedings of the 2015 IEEE International Conference on Software Quality, 2015

Protecting Critical Cloud Infrastructures with Predictive Capability.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
An adaptable distributed trust management framework for large-scale secure service-based systems.
Computing, 2014

Intelligent Planning for Developing Mobile IoT Applications Using Cloud Systems.
Proceedings of the IEEE Third International Conference on Mobile Services, Anchorage, AK, USA, June 27, 2014

A Reference Architecture for Improving Security and Privacy in Internet of Things Applications.
Proceedings of the IEEE Third International Conference on Mobile Services, Anchorage, AK, USA, June 27, 2014

2012
An Approach to Data Confidentiality Protection in Cloud Environments.
Int. J. Web Serv. Res., 2012


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