39 citations · 103 across the 14 of their papers we have counts for
11 papers
Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts
Yi Liu, Chengjun Cai, Xiaoli Zhang +2
Large Vision Language Models (VLMs) extend and enhance the perceptual abilities of Large Language Models (LLMs). Despite offering new possibilities for LLM applications, these adva…
Security and Privacy of 6G Federated Learning-enabled Dynamic Spectrum Sharing
Viet Vo, Thusitha Dayaratne, Blake Haydon +5
Spectrum sharing is increasingly vital in 6G wireless communication, facilitating dynamic access to unused spectrum holes. Recently, there has been a significant shift towards empl…
Exploiting and Securing ML Solutions in Near-RT RIC: A Perspective of an xApp
Thusitha Dayaratne, Viet Vo, Shangqi Lai +5
Open Radio Access Networks (O-RAN) are emerging as a disruptive technology, revolutionising traditional mobile network architecture and deployments in the current 5G and the upcomi…
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning
Yi Liu, Cong Wang, Xingliang Yuan
Federated Learning (FL) is susceptible to poisoning attacks, wherein compromised clients manipulate the global model by modifying local datasets or sending manipulated model update…
DeFiGuard: A Price Manipulation Detection Service in DeFi using Graph Neural Networks
Dabao Wang, Bang Wu, Xingliang Yuan +3
The prosperity of Decentralized Finance (DeFi) unveils underlying risks, with reported losses surpassing 3.2 billion USD between 2018 and 2022 due to vulnerabilities in Decentraliz…
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone?
Van Nguyen, Xingliang Yuan, Tingmin Wu +3
Software vulnerabilities (SVs) have become a common, serious, and crucial concern to safety-critical security systems. That leads to significant progress in the use of AI-based met…