156 citations · 191 across the 13 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
Ce Zhou, Qian Li, Chen Li +16
Pretrained Foundation Models (PFMs) are regarded as the foundation for various downstream tasks with different data modalities. A PFM (e.g., BERT, ChatGPT, and GPT-4) is trained on…