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20222026
most citedGhostTalk: Interactive Attack on Smartphone Voice System Through Power Line

34 citations · 68 across the 10 of their papers we have counts for

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Showing cs.CRShow all

6 papers · 1 filter

cs.CR2024

Protecting Activity Sensing Data Privacy Using Hierarchical Information Dissociation

Guangjing Wang, Hanqing Guo, Yuanda Wang +3

Smartphones and wearable devices have been integrated into our daily lives, offering personalized services. However, many apps become overprivileged as their collected sensing data…

cs.CR2024

A Practical Survey on Emerging Threats from AI-driven Voice Attacks: How Vulnerable are Commercial Voice Control Systems?

Yuanda Wang, Qiben Yan, Nikolay Ivanov +1

The emergence of Artificial Intelligence (AI)-driven audio attacks has revealed new security vulnerabilities in voice control systems. While researchers have introduced a multitude…

cs.CR2023★ 2 cited

Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems

Guangjing Wang, Ce Zhou, Yuanda Wang +3

Transferable attacks allow adversarial manipulations or learned attack mechanisms constructed in one setting to compromise other AI systems, potentially reducing attack costs and a…

cs.CR2023★ 1 cited

PhantomSound: Black-Box, Query-Efficient Audio Adversarial Attack via Split-Second Phoneme Injection

Hanqing Guo, Guangjing Wang, Yuanda Wang +3

In this paper, we propose PhantomSound, a query-efficient black-box attack toward voice assistants. Existing black-box adversarial attacks on voice assistants either apply substitu…

cs.CR2023★ 17 cited

Understanding Multi-Turn Toxic Behaviors in Open-Domain Chatbots

Bocheng Chen, Guangjing Wang, Hanqing Guo +2

Recent advances in natural language processing and machine learning have led to the development of chatbot models, such as ChatGPT, that can engage in conversational dialogue with…

cs.CR2022★ 34 cited

GhostTalk: Interactive Attack on Smartphone Voice System Through Power Line

Yuanda Wang, Hanqing Guo, Qiben Yan

Inaudible voice command injection is one of the most threatening attacks towards voice assistants. Existing attacks aim at injecting the attack signals over the air, but they requi…