6 citations · 7 across the 4 of their papers we have counts for
5 papers
Disentangle and Drop: Robust Universal Removal of Image Watermarks via Reconstructive Grayscale Residual Decomposition
Qi Li, Jidong Yang, Feng-Lei Fan +7
Invisible image watermarks are commonly evaluated against benign postprocessing operations such as compression, resizing, blur, and color changes. These tests leave out a different…
Rethink Deep Learning with Invariance in Data Representation
Shuren Qi, Fei Wang, Tieyong Zeng +1
Integrating invariance into data representations is a principled design in intelligent systems and web applications. Representations play a fundamental role, where systems and appl…
Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning
Yanrui Du, Sendong Zhao, Jiawei Cao +6
Instruction fine-tuning has emerged as a critical technique for customizing Large Language Models (LLMs) to specific applications. However, recent studies have highlighted signific…
Grounding and Enhancing Grid-based Models for Neural Fields
Zelin Zhao, Fenglei Fan, Wenlong Liao +1
Many contemporary studies utilize grid-based models for neural field representation, but a systematic analysis of grid-based models is still missing, hindering the improvement of t…
Spatial-Frequency Discriminability for Revealing Adversarial Perturbations
Chao Wang, Shuren Qi, Zhiqiu Huang +4
The vulnerability of deep neural networks to adversarial perturbations has been widely perceived in the computer vision community. From a security perspective, it poses a critical…