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20222026
most citedA Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection

49 citations · 94 across the 22 of their papers we have counts for

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20 papers · 1 filter

cs.CR2026

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents

Zihao Wang, Yiming Li, Yutong Wu +8

LLM-based web agents are increasingly deployed in real-world settings such as e-commerce, where they interact extensively with untrusted web content while executing actions that ca…

cs.CR2026

Explaining Intrusion Alert Decisions of Deep Learning-based Network Intrusion Detection Systems for Security Analysts

Ayush Kumar, Vrizlynn L. L. Thing

In this paper, we present EXP-SEC, a novel framework which can explain the intrusion detection decisions of DL-based NIDS (which lead to security alerts) in a way that is aligned w…

cs.CR2026

HilEnT: Hilbert, Entropy Transformed Image Based Malware Detection

Rahul Kale, Thesath Wijayasiri, Kar Wai Fok +1

With the increasing threat of malware across various software related domains, malware detection and classification is critical to determine the response actions. Different strateg…

cs.CR2026

TIER: Trajectory-Invariant Explanation Regularization for Membership Privacy

Varun Sharma, Kar Wai Fok, Vrizlynn L. L. Thing

Explainability is central to building trustworthy AI, yet explanation interfaces can inadvertently provide adversaries with an expanded privacy-related attack surfaces. Recent stud…

cs.CR2026

DE-FIVE: Detecting Malicious Image Prompts via Fourier Features and Image Vector Embeddings

Xingwei Zhong, Varun Sharma, Kar Wai Fok +1

Vision language models (VLMs) employ both visual and textual modalities to enable advanced vision-language inference. However, incorporating visual modalities expands the attack su…

cs.CR2025

DefenSee: Dissecting Threat from Sight and Text -- A Multi-View Defensive Pipeline for Multi-modal Jailbreaks

Zihao Wang, Kar Wai Fok, Vrizlynn L. L. Thing

Multi-modal large language models (MLLMs), capable of processing text, images, and audio, have been widely adopted in various AI applications. However, recent MLLMs integrating ima…