Sai Puppala

Orcid: 0009-0008-0334-5756

According to our database1, Sai Puppala authored at least 39 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
The Misattribution Gap: When Memory Poisoning Looks Like Model Failure in Agentic AI Systems.
CoRR, May, 2026

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring.
CoRR, May, 2026

When Safety Geometry Collapses: Fine-Tuning Vulnerabilities in Agentic Guard Models.
CoRR, May, 2026

Semantic Intent Fragmentation: A Single-Shot Compositional Attack on Multi-Agent AI Pipelines.
CoRR, April, 2026

Agent-Fence: Mapping Security Vulnerabilities Across Deep Research Agents.
CoRR, February, 2026

AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scam-baiting by Leveraging LLMs and Federated Learning.
Proc. Priv. Enhancing Technol., 2026

2025
Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control.
CoRR, December, 2025

Real-Time Personalized Content Adaptation through Matrix Factorization and Context-Aware Federated Learning.
CoRR, November, 2025

Optimus-Q: Utilizing Federated Learning in Adaptive Robots for Intelligent Nuclear Power Plant Operations through Quantum Cryptography.
CoRR, November, 2025

LLM-Guided Dynamic-UMAP for Personalized Federated Graph Learning.
CoRR, November, 2025

Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization.
CoRR, September, 2025

AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning.
CoRR, September, 2025

EVOLVE-X: Embedding Fusion and Language Prompting for User Evolution Forecasting on Social Media.
CoRR, July, 2025

Comprehensive Privacy Risk Assessment in Social Networks Using User Attributes Social Graphs and Text Analysis.
Proceedings of the 36th ACM Conference on Hypertext and Social Media, 2025

Beyond Transformers: Leveraging Large Language Models and Encoder-Decoder Architectures for Emotion Detection in Low-Resource Language.
Proceedings of the Social Networks Analysis and Mining - 17th International Conference, 2025

2024
FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG.
CoRR, 2024

Generative AI like ChatGPT in Blockchain Federated Learning: use cases, opportunities and future.
CoRR, 2024

SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media.
CoRR, 2024

A Visual Approach to Tracking Emotional Sentiment Dynamics in Social Network Commentaries.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

SAFARI: Self-regulAted Clustered FederAted Learning in a HeteRogeneous EnvIronment.
Proceedings of the International Conference on Machine Learning and Applications, 2024

Towards Communication-Efficient Federated Learning Through Particle Swarm Optimization and Knowledge Distillation.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

SCALE: Self-Regulated Clustered FederAted LEarning in a Homogeneous Environment.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

SCAN: A HealthCare Personalized ChatBot with Federated Learning Based GPT.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Advancements in Multimodal Social Media Post Summarization: Integrating GPT-4 for Enhanced Understanding.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

SocialGuard: Bangla Text-Based Gender Identification for Enhancing Integrity in Social Networks.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

SocFedGPT: Federated GPT-Based Adaptive Content Filtering System Leveraging User Interactions in Social Networks.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

A Visual Approach to Tracking Emotional Sentiment Dynamics in Social Network Commentaries.
Proceedings of the Advances in Social Networks Analysis and Mining - Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining, 2024

EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-Like Model.
Proceedings of the Advances in Social Networks Analysis and Mining - Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining, 2024

CAMERA: Context Based Emotion Detection Framework and Its Evaluation.
Proceedings of the Advances in Social Networks Analysis and Mining - Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining, 2024

Combating Echo Chambers in Online Social Network by Increasing Content Diversity in Recommendation.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

2023
Case Studies on X-Ray Imaging, MRI and Nuclear Imaging.
CoRR, 2023

Generative Adversarial Networks for Data Augmentation.
CoRR, 2023

Machine Learning and Sentiment Analysis for Predicting Environmental Lead Toxicity in Children at the ZIP Code Level.
Proceedings of the IEEE 2nd International Conference on AI in Cybersecurity, 2023

Collaborative Differentially Private Federated Learning Framework for the Prediction of Diabetic Retinopathy.
Proceedings of the IEEE 2nd International Conference on AI in Cybersecurity, 2023

Monitoring Dynamics of Emotional Sentiment in Social Network Commentaries.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Combating Identity Attacks in Online Social Networks: A Multi-Layered Framework Using Zero-Knowledge Proof and Permissioned Blockchain.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
A Novel Hierarchical Federated Learning with Self-Regulated Decentralized Clustering.
J. Comput. Sci. Coll., 2022

Prediction of Childhood and Pregnancy Lead Poisoning Using Deep Learning.
J. Comput. Sci. Coll., 2022

Federated Learning-Based Contraband Detection within Airport Baggage X-Rays.
J. Comput. Sci. Coll., 2022


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