7 papers
From ARIMA to Attention: Power Load Forecasting Using Temporal Deep Learning
Suhasnadh Reddy Veluru, Sai Teja Erukude, Viswa Chaitanya Marella
Accurate short-term power load forecasting is important to effectively manage, optimize, and ensure the robustness of modern power systems. This paper performs an empirical evaluat…
AI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies
Sai Teja Erukude, Viswa Chaitanya Marella, Suhasnadh Reddy Veluru
Artificial Intelligence's dual-use nature is revolutionizing the cybersecurity landscape, introducing new threats across four main categories: deepfakes and synthetic media, advers…
FedOnco-Bench: A Reproducible Benchmark for Privacy-Aware Federated Tumor Segmentation with Synthetic CT Data
Viswa Chaitanya Marella, Suhasnadh Reddy Veluru, Sai Teja Erukude
Federated Learning (FL) allows multiple institutions to cooperatively train machine learning models while retaining sensitive data at the source, which has great utility in privacy…
Multimodal Detection of Fake Reviews using BERT and ResNet-50
Suhasnadh Reddy Veluru, Sai Teja Erukude, Viswa Chaitanya Marella
In the current digital commerce landscape, user-generated reviews play a critical role in shaping consumer behavior, product reputation, and platform credibility. However, the prol…
Explainable Deep Learning in Medical Imaging: Brain Tumor and Pneumonia Detection
Sai Teja Erukude, Viswa Chaitanya Marella, Suhasnadh Reddy Veluru
Deep Learning (DL) holds enormous potential for improving medical imaging diagnostics, yet the lack of interpretability in most models hampers clinical trust and adoption. This pap…
Wavelet-based GAN Fingerprint Detection using ResNet50
Sai Teja Erukude, Suhasnadh Reddy Veluru, Viswa Chaitanya Marella
Identifying images generated by Generative Adversarial Networks (GANs) has become a significant challenge in digital image forensics. This research presents a wavelet-based detecti…