Analysis of Chinese Remainder Theorem for Data Compression. - Ijaz Ahmad 002; Bumshik Lee; Seokjoo Shin (ICOIN, 2020)

Region-based Selective Compression and Selective Encryption of Medical Images. - Ijaz Ahmad 002; Seokjoo Shin (SMA, 2020)

An Approach to Run Pre-Trained Deep Learning Models on Grayscale Images. - Ijaz Ahmad 002; Seokjoo Shin (ICAIIC, 2021)

A novel hybrid image encryption-compression scheme by combining chaos theory and number theory. - Ijaz Ahmad 002; Seokjoo Shin (Signal Process. Image Commun., 2021)

Performance Analysis of Cloud-based Deep Learning Models on Images Recovered without Channel Correction in OFDM System. - Ijaz Ahmad 002; Nazmul Islam; Seokjoo Shin (APCC, 2022)

Determining Jigsaw Puzzle State from an Image based on Deep Learning. - Ijaz Ahmad 002; Suk-Seung Hwang; Seokjoo Shin (ICAIIC, 2022)

Encryption-then-Compression System for Cloud-based Medical Image Services. - Ijaz Ahmad 002; Seokjoo Shin (ICOIN, 2022)

Perceptual Encryption-based Privacy-Preserving Deep Learning in Internet of Things Applications. - Ijaz Ahmad 002; Seokjoo Shin (ICTC, 2022)

Privacy-Preserving Surveillance for Smart Cities. - Ijaz Ahmad 002; Eunkyung Kim 004; Suk-Seung Hwang; Seokjoo Shin (ICUFN, 2022)

A Pixel-based Encryption Method for Privacy-Preserving Deep Learning Models. - Ijaz Ahmad 002; Seokjoo Shin (CoRR, 2022)

Just-Noticeable-Difference Based Edge Map Quality Measure. - Ijaz Ahmad 002; Seokjoo Shin (CoRR, 2022)

Channel model for end-to-end learning of communications systems: A survey. - Ijaz Ahmad 002; Seokjoo Shin (CoRR, 2022)

IIB-CPE: Inter and Intra Block Processing-Based Compressible Perceptual Encryption Method for Privacy-Preserving Deep Learning. - Ijaz Ahmad 002; Seokjoo Shin (Sensors, 2022)

Noise-cuts-Noise Approach for Mitigating the JPEG Distortions in Deep Learning. - Ijaz Ahmad 002; Seokjoo Shin (ICAIIC, 2023)

Robustness of Deep Learning enabled IoT Applications Utilizing Higher Order QAM in OFDM Image Communication System. - Nazmul Islam; Ijaz Ahmad 002; Seokjoo Shin (ICAIIC, 2023)

Perceptual Encryption-based Privacy-Preserving Deep Learning for Medical Image Analysis. - Ijaz Ahmad 002; Seokjoo Shin (ICOIN, 2023)

Deep Learning-based Image Quality Assessment Metric for Quantifying Perceptual Distortions in Transmitted Images. - Ijaz Ahmad 002; Seokjoo Shin (ISCIT, 2023)

Comprehensive Analysis of Compressible Perceptual Encryption Methods - Compression and Encryption Perspectives. - Ijaz Ahmad 002; Wooyeol Choi 002; Seokjoo Shin (Sensors, 2023)

Perceptual Image Encryption: A Communication Perspective. - Ijaz Ahmad 002; Seokjoo Shin (ICOIN, 2024)

A Searchable Encryption Technique for Secure Color Image Retrieval. - Ijaz Ahmad 002; Joongheon Kim; Seokjoo Shin (ICTC, 2024)

Secure Retrieval of Brain Tumor Images using Perceptual Encryption. - Ijaz Ahmad 002; Md Shahriar Uzzal; Seokjoo Shin (BigComp, 2025)

Learnable Encryption with a Diffusion Property. - Ijaz Ahmad 002; Joongheon Kim; Seokjoo Shin (DSN-S, 2025)

Segmentation Aided Multiclass Tumor Classification in Ultrasound Images using Graph Neural Network. - Iftekharul Islam Shovon; Ijaz Ahmad 002; Seokjoo Shin (ICAIIC, 2025)

Segmentation Aided Multiclass Classification of Lung Disease in Chest X-ray Images using Graph Neural Networks. - Iftekharul Islam Shovon; Ijaz Ahmad 002; Seokjoo Shin (ICOIN, 2025)

Privacy-Preserving Uncertainty Calibration Using Perceptual Encryption in Cloud-Edge Collaborative Artificial Intelligence of Things. - Ijaz Ahmad 002; Joongheon Kim; Seokjoo Shin (IEEE Internet Things J., 2025)