220 citations · 326 across the 9 of their papers we have counts for
4 papers · 1 filter
Robust Attacks on Deep Learning Face Recognition in the Physical World
Meng Shen, Hao Yu, Liehuang Zhu +3
Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems. Recent studies, however, show that DNNs are vulnerable to adversarial examples, which can…
When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition
Shu Wang, Jiahao Cao, Xu He +2
Automatic speech recognition (ASR) systems have been widely deployed in modern smart devices to provide convenient and diverse voice-controlled services. Since ASR systems are vuln…
Off-Path TCP Exploits of the Mixed IPID Assignment
Xuewei Feng, Chuanpu Fu, Qi Li +2
In this paper, we uncover a new off-path TCP hijacking attack that can be used to terminate victim TCP connections or inject forged data into victim TCP connections by manipulating…
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data
Xuankai Liu, Fengting Li, Bihan Wen +1
Deep neural networks have been widely applied and achieved great success in various fields. As training deep models usually consumes massive data and computational resources, tradi…