collaborators

5 papers

cs.CV2026

Balanced Soft mixture-of-expert model for Glaucoma Detection

Sai Venkatesh Chilukoti, Krishna Rauniyar, Min Shi +1

Glaucoma is a group of eye diseases that damage the optic nerve, often caused by elevated intraocular pressure. It is a leading cause of irreversible vision loss and is typically d…

cs.CR2025

Double Backdoored: Converting Code Large Language Model Backdoors to Traditional Malware via Adversarial Instruction Tuning Attacks

Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan +3

Instruction-tuned Large Language Models designed for coding tasks are increasingly employed as AI coding assistants. However, the cybersecurity vulnerabilities and implications ari…

cs.LG2025

Unified Kernel-Segregated Transpose Convolution Operation

Vijay Srinivas Tida, Md Imran Hossen, Liqun Shan +3

The optimization of the transpose convolution layer for deep learning applications is achieved with the kernel segregation mechanism. However, kernel segregation has disadvantages,…

cs.CV2025

Differentially private fine-tuned NF-Net to predict GI cancer type

Sai Venkatesh Chilukoti, Imran Hossen Md, Liqun Shan +2

Based on global genomic status, the cancer tumor is classified as Microsatellite Instable (MSI) and Microsatellite Stable (MSS). Immunotherapy is used to diagnose MSI, whereas radi…

cs.LG2025

DP-SGD-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold

Sai Venkatesh Chilukoti, Md Imran Hossen, Liqun Shan +4

Differentially Private Stochastic Gradient Descent (DP-SGD) has become a widely used technique for safeguarding sensitive information in deep learning applications. Unfortunately,…