From the 1 of 13 linked papers with an AI index.
13 papers
Explaining Intrusion Alert Decisions of Deep Learning-based Network Intrusion Detection Systems for Security Analysts
Ayush Kumar, Vrizlynn L. L. Thing
The paper introduces EXP-SEC, a framework that explains the alerts generated by deep‑learning‑based network intrusion detection systems by isolating suspect traffic and providing g…
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…
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…
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…
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…
Enhanced Consistency Bi-directional GAN (CBiGAN) for Malware Anomaly Detection
Thesath Wijayasiri, Kar Wai Fok, Vrizlynn L. L. Thing
Static malware analysis remains a core technique in cybersecurity due to its ability to assess potentially malicious software without execution. Nevertheless, many existing static…