Dipkamal Bhusal
Scholar

Dipkamal Bhusal

Google Scholar ID: AAxpmiMAAAAJ
Rochester Institute of Technology
InterpretabilityExplainabilityDeep LearningReliable AILarge Language Models
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Citations & Impact
All-time
Citations
264
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
17
list available
Contact
No contact links provided.
Publications
8 items
Training for Trustworthy Saliency Maps: Adversarial Training Meets Feature-Map Smoothing
2026
Cited
0
AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence
2025
Cited
0
FACE: Faithful Automatic Concept Extraction
2025
Cited
0
Concept-Based Masking: A Patch-Agnostic Defense Against Adversarial Patch Attacks
2025
Cited
0
Learning to Look: Cognitive Attention Alignment with Vision-Language Models
2025
Cited
0
Smaller is Better: Enhancing Transparency in Vehicle AI Systems via Pruning
2025
Cited
0
Do Sparse Subnetworks Exhibit Cognitively Aligned Attention? Effects of Pruning on Saliency Map Fidelity, Sparsity, and Concept Coherence
2025
Cited
0
Revisiting Static Feature-Based Android Malware Detection
arXiv.org · 2024
Cited
1
Resume (English only)
Co-authors
17 total
Nidhi Rastogi
Nidhi Rastogi
Assistant Professor, Rochester Institute of Technology, NY
Tanvirul Alam
Tanvirul Alam
PhD Student, Rochester Institute of Technology
Youngja Park
Youngja Park
IBM T. J. Watson Research Center
Le Nguyen
Le Nguyen
Research Scientist, Soar Technologies. PhD Student, Rochester Institute of Technology
Michael Clifford
Michael Clifford
Principal Researcher, Toyota InfoTech Labs
Co-author 6
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Co-author 7
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Co-author 8
Co-author 8