Publications (10)
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…
High-Precision Calibration Workflow Achieves Above CZ Gate Fidelity on a Scalable Superconducting Processor
Huili Zhang, Meiling Li, Shuang Yang +6
High-fidelity universal two-qubit gates are critical for building fault-tolerant quantum computers. In scalable superconducting processors, shortened coherence times introduce more…
Representation and Reference Selection in Training-Free Synthetic Image Attribution
Meiling Li, Pietro Bongini, Benedetta Tondi +1
The paper investigates how the choice of visual representation and reference selection method affect training‑free, reference‑based attribution of synthetic images, showing that in…
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…
Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios
Chunxiao Li, Xiaoxiao Wang, Meiling Li +5
With the rapid advancement of generative models, highly realistic image synthesis has posed new challenges to digital security and media credibility. Although AI-generated image de…
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…
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…
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…
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…
Joint Vehicular Localization and Reflective Mapping Based on Team Channel-SLAM
Xinghe Chu, Zhaoming Lu, David Gesbert +4
This paper addresses high-resolution vehicle positioning and tracking. In recent work, it was shown that a fleet of independent but neighboring vehicles can cooperate for the task…