22 citations · 31 across the 10 of their papers we have counts for
12 papers
RETAIL: Towards Real-world Travel Planning for Large Language Models
Bin Deng, Yizhe Feng, Zeming Liu +5
Although large language models have enhanced automated travel planning abilities, current systems remain misaligned with real-world scenarios. First, they assume users provide expl…
ToolSpectrum : Towards Personalized Tool Utilization for Large Language Models
Zihao Cheng, Hongru Wang, Zeming Liu +4
While integrating external tools into large language models (LLMs) enhances their ability to access real-time information and domain-specific services, existing approaches focus na…
Deepfake Detection via Knowledge Injection
Tonghui Li, Yuanfang Guo, Zeming Liu +2
Deepfake detection technologies become vital because current generative AI models can generate realistic deepfakes, which may be utilized in malicious purposes. Existing deepfake d…
Generalizable AI-Generated Image Detection Based on Fractal Self-Similarity in the Spectrum
Shengpeng Xiao, Yuanfang Guo, Heqi Peng +5
With the rapid development of image synthesis techniques, AI-generated images have become increasingly realistic, which heightens the potential risk associated with their misuse an…
LSP Framework: A Compensatory Model for Defeating Trigger Reverse Engineering via Label Smoothing Poisoning
Beichen Li, Yuanfang Guo, Heqi Peng +2
Deep neural networks are vulnerable to backdoor attacks. Among the existing backdoor defense methods, trigger reverse engineering based approaches, which reconstruct the backdoor t…
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
Heqi Peng, Yunhong Wang, Ruijie Yang +3
Adversarial example detection, which can be conveniently applied in many scenarios, is important in the area of adversarial defense. Unfortunately, existing detection methods suffe…
Understanding Heterophily for Graph Neural Networks
Junfu Wang, Yuanfang Guo, Liang Yang +1
Graphs with heterophily have been regarded as challenging scenarios for Graph Neural Networks (GNNs), where nodes are connected with dissimilar neighbors through various patterns.…
RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images
Hui Miao, Yuanfang Guo, Yunhong Wang
With the rapid development of the image generation technologies, the malicious abuses of the GAN-generated fingerprint images poses a significant threat to the public safety in cer…
Common Knowledge Learning for Generating Transferable Adversarial Examples
Ruijie Yang, Yuanfang Guo, Junfu Wang +2
This paper focuses on an important type of black-box attacks, i.e., transfer-based adversarial attacks, where the adversary generates adversarial examples by a substitute (source)…
Heterophily-Aware Graph Attention Network
Junfu Wang, Yuanfang Guo, Liang Yang +1
Graph Neural Networks (GNNs) have shown remarkable success in graph representation learning. Unfortunately, current weight assignment schemes in standard GNNs, such as the calculat…
Binary Graph Convolutional Network with Capacity Exploration
Junfu Wang, Yuanfang Guo, Liang Yang +1
The current success of Graph Neural Networks (GNNs) usually relies on loading the entire attributed graph for processing, which may not be satisfied with limited memory resources,…
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding
Junfu Wang, Yuanfang Guo, Liang Yang +1
Graph Neural Networks (GNNs) have been generalized to process the heterogeneous graphs by various approaches. Unfortunately, these approaches usually model the heterogeneity via va…