activity
20182026
most citedIDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection

352 citations · 367 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Monet: Measuring the Ecosystem of Open-Source Text-to-Image Models Tailored for Harmful Services

Zihao Wang, Jiacen Xu, Zilong Lin

The open-source text-to-image (T2I) ecosystem enables rapid model development and sharing, but also hosts models intentionally tailored for harmful services, which we call Monets.…

cs.CR2025★ 1 cited

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes

Zilong Lin, Zichuan Li, Xiaojing Liao +1

The advancement of AI technologies, particularly Large Language Models (LLMs), has transformed computing while introducing new security and privacy risks. Prior research shows that…

cs.CR2024★ 9 cited

Malla: Demystifying Real-world Large Language Model Integrated Malicious Services

Zilong Lin, Jian Cui, Xiaojing Liao +1

The underground exploitation of large language models (LLMs) for malicious services (i.e., Malla) is witnessing an uptick, amplifying the cyber threat landscape and posing question…

cs.CR2023★ 5 cited

MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion

Zilong Lin, Zhengyi Li, Xiaojing Liao +2

As a prominent instance of vandalism edits, Wiki search poisoning for illicit promotion is a cybercrime in which the adversary aims at editing Wiki articles to promote illicit busi…

cs.CR2018★ 352 cited

IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection

Zilong Lin, Yong Shi, Zhi Xue

As an essential tool in security, the intrusion detection system bears the responsibility of the defense to network attacks performed by malicious traffic. Nowadays, with the help…