33 citations · 33 across the 7 of their papers we have counts for
9 papers
SoK: Rethinking Jailbreaking in the Era of Agentic AI: Attacks, Defenses, and Practical Consideration
Md Jueal Mia, Yanzhao Wu, Selcuk Uluagac +1
Large language models (LLMs) are rapidly evolving from conversational assistants into agentic AI systems that reason, plan, invoke tools, maintain persistent memory, communicate wi…
GUARD-SLM: Token Activation-Based Defense Against Jailbreak Attacks for Small Language Models
Md Jueal Mia, Joaquin Molto, Yanzhao Wu +1
Small Language Models (SLMs) are emerging as efficient and economically viable alternatives to Large Language Models (LLMs), offering competitive performance with significantly low…
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…