activity
20222026
most citedTowards Deep Network Steganography: From Networks to Networks

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Representation and Reference Selection in Training-Free Synthetic Image Attribution

Meiling Li, Pietro Bongini, Benedetta Tondi +1

Synthetic image attribution aims at identifying the generator responsible for a given AI-generated image. Training-free reference-based attribution methods are easily scalable, sin…

cs.AI2024

Online Prompt Pricing based on Combinatorial Multi-Armed Bandit and Hierarchical Stackelberg Game

Meiling Li, Hongrun Ren, Haixu Xiong +2

Generation models have shown promising performance in various tasks, making trading around machine learning models possible. In this paper, we aim at a novel prompt trading scenari…

cs.CV2024

Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models

Meiling Li, Zhenxing Qian, Xinpeng Zhang

Text-to-image generative models have recently garnered significant attention due to their ability to generate images based on prompt descriptions. While these models have shown pro…

cs.CV2024

Object-oriented backdoor attack against image captioning

Meiling Li, Nan Zhong, Xinpeng Zhang +2

Backdoor attack against image classification task has been widely studied and proven to be successful, while there exist little research on the backdoor attack against vision-langu…

cs.CR2023★ 2 cited

Towards Deep Network Steganography: From Networks to Networks

Guobiao Li, Sheng Li, Meiling Li +2

With the widespread applications of the deep neural network (DNN), how to covertly transmit the DNN models in public channels brings us the attention, especially for those trained…

cs.CR2023

Steganography of Steganographic Networks

Guobiao Li, Sheng Li, Meiling Li +2

Steganography is a technique for covert communication between two parties. With the rapid development of deep neural networks (DNN), more and more steganographic networks are propo…

cs.CV2022★ 2 cited

Exploring Depth Information for Face Manipulation Detection

Haoyue Wang, Meiling Li, Sheng Li +2

Face manipulation detection has been receiving a lot of attention for the reliability and security of the face images. Recent studies focus on using auxiliary information or prior…