133 citations · 263 across the 21 of their papers we have counts for
5 papers · 1 filter
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?
Jihyeon Ryu, Yifeng Zheng, Yansong Gao +6
Collaborative inference has recently emerged as an attractive framework for applying deep learning to Internet of Things (IoT) applications by splitting a DNN model into several su…
Fine with "1234"? An Analysis of SMS One-Time Password Randomness in Android Apps
Siqi Ma, Juanru Li, Hyoungshick Kim +4
A fundamental premise of SMS One-Time Password (OTP) is that the used pseudo-random numbers (PRNs) are uniquely unpredictable for each login session. Hence, the process of generati…
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Yansong Gao, Minki Kim, Chandra Thapa +5
Federated learning (FL) and split learning (SL) are state-of-the-art distributed machine learning techniques to enable machine learning training without accessing raw data on clien…
Peeler: Profiling Kernel-Level Events to Detect Ransomware
Muhammad Ejaz Ahmed, Hyoungshick Kim, Seyit Camtepe +1
Ransomware is a growing threat that typically operates by either encrypting a victim's files or locking a victim's computer until the victim pays a ransom. However, it is still cha…
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN
Alsharif Abuadbba, Hyoungshick Kim, Surya Nepal
Convolutional Neural Networks (CNNs) deployed in real-life applications such as autonomous vehicles have shown to be vulnerable to manipulation attacks, such as poisoning attacks a…