activity
20202026
most citedDeep Learning for Community Detection: Progress, Challenges and Opportunities

195 citations · 225 across the 14 of their papers we have counts for

collaborators
Showing cs.CRShow all

10 papers · 1 filter

cs.CR2026

Connecting the Dots in Agentic AI Security: A Cross-Dimensional Threat Taxonomy, Evaluation Maturity, and Open Challenges

Heewon Baek, Alsharif Abuadbba, Kristen Moore +2

Agentic AI extends LLM security beyond generated content to persistent state, autonomous actions, tool use, and interactions with humans and other agents. Existing threat classific…

cs.CR2026

DEFEAT: Stitching Fragmented File I/O Contexts for Early Ransomware Detection

Muhammad Ejaz Ahmed, Hyoungshick Kim, Mohsen Ali Alawami +4

Ransomware increasingly fragments its file operations across temporary and intermediate files, scattering the semantic context that links individual I/O events to an overarching en…

cs.CR2026

Human Society-Inspired Approaches to Agentic AI Security: The 4C Framework

Alsharif Abuadbba, Nazatul Sultan, Surya Nepal +1

AI is moving from domain-specific autonomy in closed, predictable settings to large-language-model-driven agents that plan and act in open, cross-organizational environments. As a…

cs.CR2025

Adaptive alert prioritisation in security operations centres via learning to defer with human feedback

Fatemeh Jalalvand, Mohan Baruwal Chhetri, Surya Nepal +1

Alert prioritisation (AP) is crucial for security operations centres (SOCs) to manage the overwhelming volume of alerts and ensure timely detection and response to genuine threats,…

cs.CR2025

Enhancing Malware Fingerprinting through Analysis of Evasive Techniques

Alsharif Abuadbba, Sean Lamont, Ejaz Ahmed +6

As malware detection evolves, attackers adopt sophisticated evasion tactics. Traditional file-level fingerprinting, such as cryptographic and fuzzy hashes, is often overlooked as a…

cs.CR2025

Comprehensive Evaluation of Cloaking Backdoor Attacks on Object Detector in Real-World

Hua Ma, Alsharif Abuadbba, Yansong Gao +2

The exploration of backdoor vulnerabilities in object detectors, particularly in real-world scenarios, remains limited. A significant challenge lies in the absence of a natural phy…

cs.CR2024

From Solitary Directives to Interactive Encouragement! LLM Secure Code Generation by Natural Language Prompting

Shigang Liu, Bushra Sabir, Seung Ick Jang +5

Large Language Models (LLMs) have shown remarkable potential in code generation, making them increasingly important in the field. However, the security issues of generated code hav…

cs.CR2024★ 12 cited

SoK: Can Trajectory Generation Combine Privacy and Utility?

Erik Buchholz, Alsharif Abuadbba, Shuo Wang +2

While location trajectories represent a valuable data source for analyses and location-based services, they can reveal sensitive information, such as political and religious prefer…

cs.CR2023★ 4 cited

Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense

Hua Ma, Shang Wang, Yansong Gao +7

All current backdoor attacks on deep learning (DL) models fall under the category of a vertical class backdoor (VCB) -- class-dependent. In VCB attacks, any sample from a class act…

cs.CR2021★ 13 cited

SoftTRR: Protect Page Tables Against RowHammer Attacks using Software-only Target Row Refresh

Zhi Zhang, Yueqiang Cheng, Minghua Wang +7

Rowhammer attacks that corrupt level-1 page tables to gain kernel privilege are the most detrimental to system security and hard to mitigate. However, recently proposed software-on…