most citedAI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies

2 citations · 2 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CR20262 cited

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…

cs.CV2025

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…

cs.AI2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

Fourier-Based GAN Fingerprint Detection using ResNet50

Sai Teja Erukude, Viswa Chaitanya Marella, Suhasnadh Reddy Veluru

The rapid rise of photorealistic images produced from Generative Adversarial Networks (GANs) poses a serious challenge for image forensics and industrial systems requiring reliable…