Shafkat Islam
Computer Science · Purdue University West Lafayette
Publications
24
Citations
291
Est. group size
—
Recurring co-author estimate
Active years
10
Publishing since 2017
Shafkat Islam works on security and privacy for connected and intelligent systems, including federated learning (a way to train AI models across many devices without sharing raw data), unmanned aerial vehicle (UAV/drone) networks, vehicular edge computing, smart grids, and IoT devices. Much of the work focuses on identifying attacks (such as data poisoning or backdoor attacks) against machine learning systems and designing defenses, privacy-preserving methods, and resource allocation schemes for these networked, resource-constrained environments.
Publication output has fluctuated over the last decade, rising to peaks around 2021-2022 and again in 2026, with lower activity in some intervening years, giving a mean of about 2.8 publications per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- UAV-CAS: A Calibrated Digital-Twin Dataset for Intrusion Detection in UAV Swarm Networks
arXiv (Cornell University) · 2026
- Exploiting Gaussian Noise Variance for Dynamic Differential Poisoning in Federated Learning
IEEE Transactions on Artificial Intelligence · 2025
- A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid
2023
- An Intelligent Privacy Preservation Scheme for EV Charging Infrastructure
IEEE Transactions on Industrial Informatics · 2022
- A Triggerless Backdoor Attack and Defense Mechanism for Intelligent Task Offloading in Multi-UAV Systems
IEEE Internet of Things Journal · 2022
- Toward Secure Cyber Infrastructure for Smart Cities: Learning-Based Intelligent Solutions
EAI/Springer Innovations in Communication and Computing · 2022
- Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures
arXiv (Cornell University) · 2022
- A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid
arXiv (Cornell University) · 2022
- Blockchain-Enabled Intelligent Vehicular Edge Computing
IEEE Network · 2021
- DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning
2021 17th International Conference on Mobility, Sensing and Networking (MSN) · 2021
- Context-Aware Fine-Grained Task Scheduling at Vehicular Edges: An Extreme Reinforcement Learning based Dynamic Approach
2021
- Towards Generalizable Network Anomaly Detection Models
2021
- DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning
arXiv (Cornell University) · 2021
- A Light-weight Blockchain Architecture for V2V Knowledge Sharing at Vehicular Edges
2020
- A Path Planning Algorithm for Collective Monitoring Using Autonomous Drones
2019
- arXiv (Cornell University)×6
- IEEE Transactions on Industrial Informatics×1
- IEEE Network×1
- IEEE Internet of Things Journal×1
- IEEE Transactions on Artificial Intelligence×1
- Joshua C. Zhao
Computer Science · Purdue University West Lafayette
- Efstathia Soufleri
Computer Science · Purdue University West Lafayette
- Su Wang
Computer Science · Purdue University West Lafayette
- Chenghong Wang
Computer Science · Indiana University
- Agnideven Palanisamy Sundar
Computer Science · Purdue University West Lafayette
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.
Claim or correct this profile