5 papers
Log2Sig: Frequency-Aware Insider Threat Detection via Multivariate Behavioral Signal Decomposition
Kaichuan Kong, Dongjie Liu, Xiaobo Jin +2
Insider threat detection presents a significant challenge due to the deceptive nature of malicious behaviors, which often resemble legitimate user operations. However, existing app…
MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection
Kaichuan Kong, Dongjie Liu, Xiaobo Jin +3
Enterprises are facing increasing risks of insider threats, while existing detection methods are unable to effectively address these challenges due to reasons such as insufficient…
DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Language Models
Kaichuan Kong, Dongjie Liu, Xiaobo Jin +3
Insider threat detection (ITD) poses a persistent and high-impact challenge in cybersecurity due to the subtle, long-term, and context-dependent nature of malicious insider behavio…
Twin Trigger Generative Networks for Backdoor Attacks against Object Detection
Zhiying Li, Zhi Liu, Guanggang Geng +4
Object detectors, which are widely used in real-world applications, are vulnerable to backdoor attacks. This vulnerability arises because many users rely on datasets or pre-trained…
Forging the Unforgeable: On the Feasibility of Counterfeit Watermarks in Backdoor-Based Dataset Ownership Verification
Zhiying Li, Zhi Liu, Dongjie Liu +6
Backdoor watermarking has emerged as the predominant approach for protecting public datasets, enabling dataset ownership verification (DOV) through embedded triggers that induce pr…