activity
20202022
most citedAccEar: Accelerometer Acoustic Eavesdropping with Unconstrained Vocabulary

58 citations · 73 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD202258 cited

AccEar: Accelerometer Acoustic Eavesdropping with Unconstrained Vocabulary

Pengfei Hu, Hui Zhuang, Panneer Selvam Santhalingamy +4

With the increasing popularity of voice-based applications, acoustic eavesdropping has become a serious threat to users' privacy. While on smartphones the access to microphones nee…

cs.LG20222 cited

Federated Learning Hyper-Parameter Tuning from a System Perspective

Huanle Zhang, Lei Fu, Mi Zhang +4

Federated learning (FL) is a distributed model training paradigm that preserves clients' data privacy. It has gained tremendous attention from both academia and industry. FL hyper-…

cs.CR2022

Iota: A Framework for Analyzing System-Level Security of IoTs

Zheng Fang, Hao Fu, Tianbo Gu +4

Most IoT systems involve IoT devices, communication protocols, remote cloud, IoT applications, mobile apps, and the physical environment. However, existing IoT security analyses on…

cs.CR20218 cited

Membership Inference Attacks Against Recommender Systems

Minxing Zhang, Zhaochun Ren, Zihan Wang +4

Recently, recommender systems have achieved promising performances and become one of the most widely used web applications. However, recommender systems are often trained on highly…

cs.CR20205 cited

IoTGaze: IoT Security Enforcement via Wireless Context Analysis

Tianbo Gu, Zheng Fang, Allaukik Abhishek +3

Internet of Things (IoT) has become the most promising technology for service automation, monitoring, and interconnection, etc. However, the security and privacy issues caused by I…