Manjushree B. Aithal

According to our database, Manjushree B. Aithal authored at least 6 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation.

Manjushree B. Aithal, Alexander Kotz, James Mitchell

CoRR, March, 2026

LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset.

Manjushree B. Aithal, Rosaura G. VidalMata, Manikandtan Kartha, Gong Chen, Eashan Adhikarla, Lucas N. Kristen, Zhicheng Fu, Nikhil A. Madusudhana, Joe Nasti

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset.

Manjushree B. Aithal, Rosaura G. VidalMata, Manikandtan Kartha, Gong Chen, Eashan Adhikarla, Lucas N. Kirsten, Zhicheng Fu, Nikhil Ambha Madhusudhana, Joe Nasti

CoRR, March, 2025

2024

Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement.

Eashan Adhikarla, Kai Zhang, Rosaura G. VidalMata, Manjushree B. Aithal, Nikhil Ambha Madhusudhana, John W. Nicholson, Lichao Sun, Brian D. Davison

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2022

Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation.

Manjushree B. Aithal, Xiaohua Li

IEEE Access, 2022

Boundary Defense Against Black-box Adversarial Attacks.

Manjushree B. Aithal, Xiaohua Li

Proceedings of the 26th International Conference on Pattern Recognition, 2022