156 citations · 269 across the 9 of their papers we have counts for
9 papers
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…
Jailbreaker in Jail: Moving Target Defense for Large Language Models
Bocheng Chen, Advait Paliwal, Qiben Yan
Large language models (LLMs), known for their capability in understanding and following instructions, are vulnerable to adversarial attacks. Researchers have found that current com…
MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems
Hanqing Guo, Xun Chen, Junfeng Guo +2
Speaker Verification (SV) is widely deployed in mobile systems to authenticate legitimate users by using their voice traits. In this work, we propose a backdoor attack MASTERKEY, t…
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…
DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning
Bocheng Chen, Nikolay Ivanov, Guangjing Wang +1
Federated Learning (FL) is a distributed machine learning (ML) paradigm, aiming to train a global model by exploiting the decentralized data across millions of edge devices. Compar…
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…