Agnideven Palanisamy Sundar

Computer Science · Purdue University West Lafayette

Early career · publishing since 2020Rising activity

Privacy-Preserving Technologies in Data Network Security and Intrusion Detection Adversarial Robustness in Machine Learning Cryptography and Data Security Spam and Phishing Detection

Publications

Citations

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2020

Research summary

AI-generated

This researcher works on the security and privacy of machine learning systems, especially federated learning (a way of training models across many devices without sharing raw data). Recent work focuses on detecting and defending against backdoor attacks, adversarial manipulation, and privacy leaks in federated and networked systems, as well as related topics like network intrusion detection and attacks on recommender systems and social networks.

Security of federated learningBackdoor attacks and defensesAdversarial robustness in machine learningPrivacy-preserving data methodsNetwork intrusion and social-network attack detection

Publication output has grown fairly steadily over the past decade, rising from no recorded output before 2020 to a peak of 5 papers in 2024, averaging about 2.8 papers per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.8/year recently

Recent publications

Vaccination Against Backdoor Attacks on Federated Learning Systems
IEEE Transactions on Systems Man and Cybernetics Systems · 2025
Data-Free Backdoor Attack on Malware Image Classification Models
2025
Vigilante Defender: A Vaccination-based Defense Against Backdoor Attacks on 3D Point Clouds Using Particle Swarm Optimization
2025
Subjective Logic-based Decentralized Federated Learning for Non-IID Data
2024
The Cost of Privacy: A Comprehensive Analysis of the Security Issues in Federated Learning
Advances in information security · 2024
Toward Multimodal Vertical Federated Learning: A Traffic Analysis Case Study
2024
Generating-Based Attacks to Online Social Networks
IEEE Transactions on Computational Social Systems · 2024
Graph Representation Learning on Novel Feature Based Graphs for Network Intrusion Detection
2024
Local Differential Privacy Preservation via the Novel Encoding Method
2023
Unsupervised Deep Learning for an Image Based Network Intrusion Detection System
2023
TrustNetFL: Enhancing Federated Learning with Trusted Client Aggregation for Improved Security
2023
GAN-inspired Defense Against Backdoor Attack on Federated Learning Systems
2023
Uncertainty evaluation for machine learning
2022
Distributed Swift and Stealthy Backdoor Attack on Federated Learning
2022
Learning-based Attack and Defense on Recommender Systems
Purdue e-Pubs (Purdue University) · 2021

Publishes in

IEEE Access×1
IEEE Transactions on Systems Man and Cybernetics Systems×1
Purdue e-Pubs (Purdue University)×1
2021 17th International Conference on Mobility, Sensing and Networking (MSN)×1
Advances in information security×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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