33 citations · 33 across the 7 of their papers we have counts for
8 papers
Multi-turn Jailbreaking Attack in Multi-Modal Large Language Models
Badhan Chandra Das, Md Tasnim Jawad, Joaquin Molto +2
In recent years, the security vulnerabilities of Multi-modal Large Language Models (MLLMs) have become a serious concern in the Generative Artificial Intelligence (GenAI) research.…
Jailbreaking Large Vision Language Models in Intelligent Transportation Systems
Badhan Chandra Das, Md Tasnim Jawad, Md Jueal Mia +2
Large Vision Language Models (LVLMs) demonstrate strong capabilities in multimodal reasoning and many real-world applications, such as visual question answering. However, LVLMs are…
System Prompt Extraction Attacks and Defenses in Large Language Models
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
The system prompt in Large Language Models (LLMs) plays a pivotal role in guiding model behavior and response generation. Often containing private configuration details, user roles…
Accurate and Efficient Two-Stage Gun Detection in Video
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
Object detection in videos plays a crucial role in advancing applications such as public safety and anomaly detection. Existing methods have explored different techniques, includin…
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
Federated learning is emerging as a promising machine learning technique in the medical field for analyzing medical images, as it is considered an effective method to safeguard sen…
Security and Privacy Challenges of Large Language Models: A Survey
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
Large Language Models (LLMs) have demonstrated extraordinary capabilities and contributed to multiple fields, such as generating and summarizing text, language translation, and que…
Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
Federated learning (FL) is gaining increasing popularity in the medical domain for analyzing medical images, which is considered an effective technique to safeguard sensitive patie…
Predicting Participants' Performance in Programming Contests using Deep Learning Techniques
Md Mahbubur Rahman, Badhan Chandra Das, Al Amin Biswas +1
In recent days, the number of technology enthusiasts is increasing day by day with the prevalence of technological products and easy access to the internet. Similarly, the amount o…