activity
20192026
most citedSkin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet

208 citations · 215 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CR2026

Toward Reliable, Safe, and Secure LLMs for Scientific Applications

Saket Sanjeev Chaturvedi, Joshua Bergerson, Tanwi Mallick

As large language models (LLMs) evolve into autonomous "AI scientists," they promise transformative advances but introduce novel vulnerabilities, from potential "biosafety risks" t…

cs.CV2025

MOBA: A Material-Oriented Backdoor Attack against LiDAR-based 3D Object Detection Systems

Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang +2

LiDAR-based 3D object detection is widely used in safety-critical systems. However, these systems remain vulnerable to backdoor attacks that embed hidden malicious behaviors during…

cs.IR2025

Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks

Gaurav Bagwe, Saket S. Chaturvedi, Xiaolong Ma +3

Retrieval-augmented generation (RAG) enhances factual grounding by integrating retrieval mechanisms with generative models but introduces new attack surfaces, particularly through…

cs.CV2025

AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt

Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang +1

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by retrieving relevant documents from external sources to improve factual accuracy and verifiability. How…

cs.CV2024

BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection

Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang +2

3D object detection plays an important role in autonomous driving; however, its vulnerability to backdoor attacks has become evident. By injecting ''triggers'' to poison the traini…

cs.CV2022★ 1 cited

Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection

Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan

Despite the recent advances of deep neural networks, object detection for adverse weather remains challenging due to the poor perception of some sensors in adverse weather. Instead…

eess.IV2020★ 4 cited

Automated Diabetic Retinopathy Grading using Deep Convolutional Neural Network

Saket S. Chaturvedi, Kajol Gupta, Vaishali Ninawe +1

Diabetic Retinopathy is a global health problem, influences 100 million individuals worldwide, and in the next few decades, these incidences are expected to reach epidemic proporti…

cs.CV2019★ 2 cited

Advances in Computer-Aided Diagnosis of Diabetic Retinopathy

Saket S. Chaturvedi, Kajol Gupta, Vaishali Ninawe +1

Diabetic Retinopathy is a critical health problem influences 100 million individuals worldwide, and these figures are expected to rise, particularly in Asia. Diabetic Retinopathy i…

eess.IV2019★ 208 cited

Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet

Saket S. Chaturvedi, Kajol Gupta, Prakash. S. Prasad

Skin cancer, a major form of cancer, is a critical public health problem with 123,000 newly diagnosed melanoma cases and between 2 and 3 million non-melanoma cases worldwide each y…