Kaleel Mahmood
Scholar

Kaleel Mahmood

Google Scholar ID: axn5PtMAAAAJ
Assistant Professor, University of Rhode Island
Adversarial Machine LearningMachine LearningComputer VisionSecurity
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Citations & Impact
All-time
Citations
891
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
4
list available
Contact
No contact links provided.
Publications
7 items
Analyzing Physical Adversarial Example Threats to Machine Learning in Election Systems
2026
Cited
0
On the Evidentiary Limits of Membership Inference for Copyright Auditing
2026
Cited
0
EMTSF:Extraordinary Mixture of SOTA Models for Time Series Forecasting
2025
Cited
0
Busting the Paper Ballot: Voting Meets Adversarial Machine Learning
2025
Cited
0
Beyond Anonymization: Object Scrubbing for Privacy-Preserving 2D and 3D Vision Tasks
2025
Cited
0
Multi-Task Models Adversarial Attacks
2023
Cited
1
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
2022
Cited
13
Resume (English only)
Co-authors
4 total
Caiwen Ding
Caiwen Ding
Associate Professor, University of Minnesota - Twin Cities
Shengli Zhou
Shengli Zhou
Professor of Electrical and Computer Engineering, University of Connecticut
Hui Guan
Hui Guan
UMass Amherst
Marten van Dijk
Marten van Dijk
Computer Security, CWI, Amsterdam; Vrije Universiteit van Amsterdam; ECE Department UConn