133 citations · 263 across the 21 of their papers we have counts for
15 papers · 1 filter
When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training
Na Li, Boyu Kuang, Hongsheng Hu +4
To overcome data scarcity and privacy constraints in data collection, it has become standard practice across academia and industry to augment real training data with text-to-image…
Systematically Evaluation of Challenge Obfuscated APUFs
Yansong Gao, Jianrong Yao, Lihui Pang +4
As a well-known physical unclonable function that can provide huge number of challenge response pairs (CRP) with a compact design and fully compatibility with current electronic fa…
Attack of the Clones: Measuring the Maintainability, Originality and Security of Bitcoin 'Forks' in the Wild
Jusop Choi, Wonseok Choi, William Aiken +5
Since Bitcoin appeared in 2009, over 6,000 different cryptocurrency projects have followed. The cryptocurrency world may be the only technology where a massive number of competitor…
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…
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…