116 citations · 178 across the 14 of their papers we have counts for
5 papers · 1 filter
Client-side Gradient Inversion Against Federated Learning from Poisoning
Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang +5
Federated Learning (FL) enables distributed participants (e.g., mobile devices) to train a global model without sharing data directly to a central server. Recent studies have revea…
model-based script synthesis for fuzzing
Zian Liu, Chao Chen, Muhammad Ejaz Ahmed +2
Kernel fuzzing is important for finding critical kernel vulnerabilities. Close-source (e.g., Windows) operating system kernel fuzzing is even more challenging due to the lack of so…
SemDiff: Binary Similarity Detection by Diffing Key-Semantics Graphs
Zian Liu, Zhi Zhang, Siqi Ma +6
Binary similarity detection is a critical technique that has been applied in many real-world scenarios where source code is not available, e.g., bug search, malware analysis, and c…
VulMatch: Binary-level Vulnerability Detection Through Signature
Zian Liu, Lei Pan, Chao Chen +4
Similar vulnerability repeats in real-world software products because of code reuse, especially in wildly reused third-party code and libraries. Detecting repeating vulnerabilities…
Security and Privacy Problems in Voice Assistant Applications: A Survey
Jingjin Li, Chao chen, Lei Pan +3
Voice assistant applications have become omniscient nowadays. Two models that provide the two most important functions for real-life applications (i.e., Google Home, Amazon Alexa,…