activity
20182026
most citedBlack-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information

77 citations · 175 across the 10 of their papers we have counts for

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Showing cs.CRShow all

6 papers · 1 filter

cs.CR2025

SyncGait: Robust Long-Distance Authentication for Drone Delivery via Implicit Gait Behaviors

Zijian Ling, Man Zhou, Hongda Zhai +5

In recent years, drone delivery, which utilizes unmanned aerial vehicles (UAVs) for package delivery and pickup, has gradually emerged as a crucial method in logistics. Since deliv…

cs.CR2024★ 6 cited

PrintListener: Uncovering the Vulnerability of Fingerprint Authentication via the Finger Friction Sound

Man Zhou, Shuao Su, Qian Wang +4

Fingerprint authentication has been extensively employed in contemporary identity verification systems owing to its rapidity and cost-effectiveness. Due to its widespread use, fing…

cs.CR2024

Hijacking Attacks against Neural Networks by Analyzing Training Data

Yunjie Ge, Qian Wang, Huayang Huang +7

Backdoors and adversarial examples are the two primary threats currently faced by deep neural networks (DNNs). Both attacks attempt to hijack the model behaviors with unintended ou…

cs.CR2021★ 77 cited

Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information

Baolin Zheng, Peipei Jiang, Qian Wang +6

Adversarial attacks against commercial black-box speech platforms, including cloud speech APIs and voice control devices, have received little attention until recent years. The cur…

cs.CR2021★ 7 cited

Securing Face Liveness Detection Using Unforgeable Lip Motion Patterns

Man Zhou, Qian Wang, Qi Li +5

Face authentication usually utilizes deep learning models to verify users with high recognition accuracy. However, face authentication systems are vulnerable to various attacks tha…

cs.CR2019★ 14 cited

VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service

Lingchen Zhao, Qian Wang, Cong Wang +5

Machine Learning as a Service (MLaaS) allows clients with limited resources to outsource their expensive ML tasks to powerful servers. Despite the huge benefits, current MLaaS solu…