11 papers
STAR-FL: Secure Federated Learning with Spatial-Temporal Analysis and Robust Aggregation
Nawrin Tabassum, Yanzhao Wu
Data poisoning attacks pose serious security threats to Federated Learning (FL) systems in Computer Vision. Despite growing research attention, two key challenges remain for existi…
Discovering KV Cache Eviction Policies via LLM-Guided Program Evolution
Pratik Poudel, Yanzhao Wu, Sumit Jha +1
KV cache compression is critical for long-context inference, yet effective eviction policies remain difficult to design: existing prefill-stage methods often rely on hand-crafted s…
What Hard Tokens Reveal: Exploiting Low-confidence Tokens for Membership Inference Attacks against Large Language Models
Md Tasnim Jawad, Mingyan Xiao, Yanzhao Wu
With the widespread adoption of Large Language Models (LLMs) and increasingly stringent privacy regulations, protecting data privacy in LLMs has become essential, especially for pr…
Augmenting Question Answering with A Hybrid RAG Approach
Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda +6
Retrieval-Augmented Generation (RAG) has emerged as a powerful technique for enhancing the quality of responses in Question-Answering (QA) tasks. However, existing approaches often…
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.…
A Diversity-optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection
Sai Nath Chowdary Medikonduru, Hongpeng Jin, Yanzhao Wu
Plant diseases pose a significant threat to global agriculture, causing over $220 billion in annual economic losses and jeopardizing food security. The timely and accurate detectio…