1 citations · 1 across the 5 of their papers we have counts for
6 papers
Leveraging Phase Information to Boost Unrolled Network Learning for Image Deblurring
Samira Malek, Haichuan Zhang, Chul Lee +1
While most image deblurring techniques directly restore the spatial image variable, we propose an amplitude and phase decomposition recognizing the importance of accurate phase est…
Spectral-Sphere-Constrained Hyper-Connections
Zhaoyi Liu, Haichuan Zhang, Ang Li
Hyper-Connections (HC) extend residual connections into multiple streams, employing residual matrices for cross-stream mixing to enrich model expressivity. However, unconstrained m…
CloneShield: A Framework for Universal Perturbation Against Zero-Shot Voice Cloning
Renyuan Li, Zhibo Liang, Haichuan Zhang +5
Recent breakthroughs in text-to-speech (TTS) voice cloning have raised serious privacy concerns, allowing highly accurate vocal identity replication from just a few seconds of refe…
Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks
Meiyu Lin, Haichuan Zhang, Jiale Lao +5
Large language models (LLMs) have shown state-of-the-art results in translating natural language questions into SQL queries (Text-to-SQL), a long-standing challenge within the data…
Attack as Defense: Run-time Backdoor Implantation for Image Content Protection
Haichuan Zhang, Meiyu Lin, Zhaoyi Liu +4
As generative models achieve great success, tampering and modifying the sensitive image contents (i.e., human faces, artist signatures, commercial logos, etc.) have induced a signi…
Deep, convergent, unrolled half-quadratic splitting for image deconvolution
Yanan Zhao, Yuelong Li, Haichuan Zhang +2
In recent years, algorithm unrolling has emerged as a powerful technique for designing interpretable neural networks based on iterative algorithms. Imaging inverse problems have pa…