Murari Mandal

Orcid: 0000-0002-0157-0967

According to our database1, Murari Mandal authored at least 73 papers between 2016 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Measuring Representation Robustness in Large Language Models for Geometry.
CoRR, April, 2026

Beyond Accuracy: Diagnosing Algebraic Reasoning Failures in LLMs Across Nine Complexity Dimensions.
CoRR, April, 2026

LLM-as-a-Judge for Time Series Explanations.
CoRR, April, 2026

Forgetting is Competition: Rethinking Unlearning as Representation Interference in Diffusion Models.
CoRR, March, 2026

Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents.
CoRR, February, 2026

Distill to Delete: Unlearning in Graph Networks With Knowledge Distillation.
IEEE Trans. Neural Networks Learn. Syst., January, 2026

The Compliance Paradox: Semantic-Instruction Decoupling in Automated Academic Code Evaluation.
CoRR, January, 2026

AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
NagaNLP: Bootstrapping NLP for Low-Resource Nagamese Creole with Human-in-the-Loop Synthetic Data.
CoRR, December, 2025

When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt Injection.
CoRR, December, 2025

The Realignment Problem: When Right becomes Wrong in LLMs.
CoRR, November, 2025

Confidence is Not Competence.
CoRR, October, 2025

Policy Optimization Prefers The Path of Least Resistance.
CoRR, October, 2025

time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models.
CoRR, September, 2025

Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models.
CoRR, June, 2025

Nine Ways to Break Copyright Law and Why Our LLM Won't: A Fair Use Aligned Generation Framework.
CoRR, May, 2025

Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style.
CoRR, May, 2025

OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs.
CoRR, May, 2025

Right Prediction, Wrong Reasoning: Uncovering LLM Misalignment in RA Disease Diagnosis.
CoRR, April, 2025

Guardians of Generation: Dynamic Inference-Time Copyright Shielding with Adaptive Guidance for AI Image Generation.
CoRR, March, 2025

ALU: Agentic LLM Unlearning.
CoRR, February, 2025

UnSTAR: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs.
Trans. Mach. Learn. Res., 2025

Guardians of Generation: Dynamic Inference-Time Copyright Shielding with Adaptive Guidance for AI Image Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Nine Ways to Break Copyright Law and Why Our LLM Won't: A Fair Use Aligned Generation Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ReviewEval: An Evaluation Framework for AI-Generated Reviews.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Fast Yet Effective Machine Unlearning.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Captionomaly: A Deep Learning Toolbox for Anomaly Captioning in Social Surveillance Systems.
IEEE Trans. Comput. Soc. Syst., February, 2024

A Universal Metric for Robust Evaluation of Synthetic Tabular Data.
IEEE Trans. Artif. Intell., January, 2024

Triplet-set feature proximity learning for video anomaly detection.
Image Vis. Comput., 2024

ConDa: Fast Federated Unlearning with Contribution Dampening.
CoRR, 2024

Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models.
CoRR, 2024

A Unified Framework for Continual Learning and Machine Unlearning.
CoRR, 2024

Multi-Modal Recommendation Unlearning.
CoRR, 2024

EcoVal: An Efficient Data Valuation Framework for Machine Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Neural Architecture Search for Image Dehazing.
IEEE Trans. Artif. Intell., October, 2023

Efficient neural architecture search for emotion recognition.
Expert Syst. Appl., August, 2023

Zero-Shot Machine Unlearning.
IEEE Trans. Inf. Forensics Secur., 2023

Deep Regression Unlearning.
Proceedings of the International Conference on Machine Learning, 2023

Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DroneSegNet: Robust Aerial Semantic Segmentation for UAV-Based IoT Applications.
IEEE Trans. Veh. Technol., 2022

AutoMER: Spatiotemporal Neural Architecture Search for Microexpression Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2022

Correction to "ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions".
IEEE Trans. Intell. Transp. Syst., 2022

An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs.
IEEE Trans. Intell. Transp. Syst., 2022

Scene Independency Matters: An Empirical Study of Scene Dependent and Scene Independent Evaluation for CNN-Based Change Detection.
IEEE Trans. Intell. Transp. Syst., 2022

TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data.
CoRR, 2022

2021
ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities.
ACM Trans. Internet Techn., 2021

ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions.
IEEE Trans. Intell. Transp. Syst., 2021

3DCD: Scene Independent End-to-End Spatiotemporal Feature Learning Framework for Change Detection in Unseen Videos.
IEEE Trans. Image Process., 2021

AI-Enabled Object Detection in UAVs: Challenges, Design Choices, and Research Directions.
IEEE Netw., 2021

TheiaNet: Towards fast and inexpensive CNN design choices for image dehazing.
J. Vis. Commun. Image Represent., 2021

Learning to Enhance Visual Quality via Hyperspectral Domain Mapping.
CoRR, 2021

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement.
CoRR, 2021

Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data.
IEEE Geosci. Remote. Sens. Lett., 2020

MotionRec: A Unified Deep Framework for Moving Object Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020



HIDeGan: A Hyperspectral-guided Image Dehazing GAN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


2019
3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection.
IEEE Signal Process. Lett., 2019

Regional adaptive affinitive patterns (RADAP) with logical operators for facial expression recognition.
IET Image Process., 2019

ANTIC: antithetic isomeric cluster patterns for medical image retrieval and change detection.
IET Comput. Vis., 2019

SSSDET: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

3D CNN with Localized Residual Connections for Hyperspectral Image Classification.
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019

2018
Multichannel Distributed Local Pattern for Content Based Indexing and Retrieval.
CoRR, 2018

CANDID: Robust Change Dynamics and Deterministic Update Policy for Dynamic Background Subtraction.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2016
A Computational Review of Identity-based Signcryption Schemes.
Int. J. Netw. Secur., 2016


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