activity
20222026
most citedFrom Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

DSIPA: Detecting LLM-Generated Texts via Sentiment-Invariant Patterns Divergence Analysis

Siyuan Li, Aodu Wulianghai, Guangyan Li +5

The rapid advancement of large language models (LLMs) presents new security challenges, particularly in detecting machine-generated text used for misinformation, impersonation, and…

cs.CR2026

Toward Polymorphic Backdoor against Semantic Communication via Intensity-Based Poisoning

Xiao Yang, Yuni Lai, Gaolei Li +4

Semantic Communication (SC) backdoor attacks aim to utilize triggers to manipulate the system into producing predetermined outputs via backdoored shared knowledge. Current SC backd…

cs.CR2026

Alkaid: Resilience to Edit Errors in Provably Secure Steganography via Distance-Constrained Encoding

Zhihan Cao, Gaolei Li, Jun Wu +3

While provably secure steganography provides strong concealment by ensuring stego carriers are indistinguishable from natural samples, such systems remain vulnerable to real-world…

eess.IV2025

SemCovert: Secure and Covert Video Transmission via Deep Semantic-Level Hiding

Zhihan Cao, Xiao Yang, Gaolei Li +3

Video semantic communication, praised for its transmission efficiency, still faces critical challenges related to privacy leakage. Traditional security techniques like steganograph…

cs.CR2022★ 1 cited

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection

Yulin Zhu, Yuni Lai, Kaifa Zhao +5

The success of graph neural networks stimulates the prosperity of graph mining and the corresponding downstream tasks including graph anomaly detection (GAD). However, it has been…