34 citations · 97 across the 17 of their papers we have counts for
17 papers
SoK: How Robust is Audio Watermarking in Generative AI models?
Yizhu Wen, Ashwin Innuganti, Aaron Bien Ramos +2
Audio watermarking is increasingly used to verify the provenance of AI-generated content, enabling applications such as detecting AI-generated speech, protecting music IP, and defe…
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…
The Dark Side of Human Feedback: Poisoning Large Language Models via User Inputs
Bocheng Chen, Hanqing Guo, Guangjing Wang +2
Large Language Models (LLMs) have demonstrated great capabilities in natural language understanding and generation, largely attributed to the intricate alignment process using huma…
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…
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…
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…
VSMask: Defending Against Voice Synthesis Attack via Real-Time Predictive Perturbation
Yuanda Wang, Hanqing Guo, Guangjing Wang +2
Deep learning based voice synthesis technology generates artificial human-like speeches, which has been used in deepfakes or identity theft attacks. Existing defense mechanisms inj…
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
Junfeng Guo, Yiming Li, Xun Chen +3
Deep neural networks (DNNs) are vulnerable to backdoor attacks, where adversaries embed a hidden backdoor trigger during the training process for malicious prediction manipulation.…
NEC: Speaker Selective Cancellation via Neural Enhanced Ultrasound Shadowing
Hanqing Guo, Chenning Li, Lingkun Li +3
In this paper, we propose NEC (Neural Enhanced Cancellation), a defense mechanism, which prevents unauthorized microphones from capturing a target speaker's voice. Compared with th…
SuperVoice: Text-Independent Speaker Verification Using Ultrasound Energy in Human Speech
Hanqing Guo, Qiben Yan, Nikolay Ivanov +3
Voice-activated systems are integrated into a variety of desktop, mobile, and Internet-of-Things (IoT) devices. However, voice spoofing attacks, such as impersonation and replay at…
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…
Rectifying Administrated ERC20 Tokens
Nikolay Ivanov, Hanqing Guo, Qiben Yan
The developers of Ethereum smart contracts often implement administrating patterns, such as censoring certain users, creating or destroying balances on demand, destroying smart con…
Real Time 3D Indoor Human Image Capturing Based on FMCW Radar
Hanqing Guo, Nan Zhang, Wenjun Shi +2
Most smart systems such as smart home and smart health response to human's locations and activities. However, traditional solutions are either require wearable sensors or lead to l…
DSIC: Deep Learning based Self-Interference Cancellation for In-Band Full Duplex Wireless
Hanqing Guo, Nan Zhang, Saeed AlQarni +1
In-band full duplex wireless is of utmost interest to future wireless communication and networking due to great potentials of spectrum efficiency. IBFD wireless, however, is thrott…
Shared Multi-Task Imitation Learning for Indoor Self-Navigation
Junhong Xu, Qiwei Liu, Hanqing Guo +3
Deep imitation learning enables robots to learn from expert demonstrations to perform tasks such as lane following or obstacle avoidance. However, in the traditional imitation lear…
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning
Junhong Xu, Shangyue Zhu, Hanqing Guo +1
Imitation learning holds the promise to address challenging robotic tasks such as autonomous navigation. It however requires a human supervisor to oversee the training process and…