activity
20192024
most citedAdversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

114 citations · 400 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CR2024★ 15 cited

G-Fuzz: A Directed Fuzzing Framework for gVisor

Yuwei Li, Yuan Chen, Shouling Ji +6

gVisor is a Google-published application-level kernel for containers. As gVisor is lightweight and has sound isolation, it has been widely used in many IT enterprises \cite{Stripe,…

cs.CR2024★ 35 cited

AdvSQLi: Generating Adversarial SQL Injections against Real-world WAF-as-a-service

Zhenqing Qu, Xiang Ling, Ting Wang +3

As the first defensive layer that attacks would hit, the web application firewall (WAF) plays an indispensable role in defending against malicious web attacks like SQL injection (S…

cs.IR2023

Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation

Guoqiang Sun, Yibin Shen, Sijin Zhou +6

Cross-domain recommendation has attracted increasing attention from industry and academia recently. However, most existing methods do not exploit the interest invariance between do…

cs.CV2022

Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training

Xiaoyu Liang, Yaguan Qian, Jianchang Huang +4

Adversarial training, as one of the most effective defense methods against adversarial attacks, tends to learn an inclusive decision boundary to increase the robustness of deep lea…

cs.CR2021★ 114 cited

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

Xiang Ling, Lingfei Wu, Jiangyu Zhang +9

Malware has been one of the most damaging threats to computers that span across multiple operating systems and various file formats. To defend against ever-increasing and ever-evol…

cs.CV2020★ 2 cited

Visually Imperceptible Adversarial Patch Attacks on Digital Images

Yaguan Qian, Jiamin Wang, Bin Wang +4

The vulnerability of deep neural networks (DNNs) to adversarial examples has attracted more attention. Many algorithms have been proposed to craft powerful adversarial examples. Ho…