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20222026
most citedBlind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication

17 citations · 32 across the 13 of their papers we have counts for

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Showing 2026Show all

7 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.CY2026

Shifting from Injection to Interaction: Rethinking Web Security in the Age of LLMs and Beyond

Nivedita Singh, Alsharif Abuadbba, Yansong Gao +2

Large language models (LLMs) are becoming integral to web applications and browser agents, transforming online interactions while introducing new attack vectors and reshaping longs…

cs.CR2026

HE-DAP: Homomorphic Encryption-based Dynamic Adaptive Parameter Optimization for Statistical Computation

Yun-Soo Park, Hyunmin Choi, Hyoungshick Kim +1

Homomorphic encryption (HE) enables privacy-preserving analytics but remains hindered by high computational overhead. We find that the inverse square root-a key primitive in many s…

cs.CR2026

Original Sin of npm: A Study on Vulnerability Propagation in JavaScript Dependency Networks

Michael Robinson, Sajal Halder, Muhammad Ejaz Ahmed +3

Understanding vulnerability propagation is essential for assessing how vulnerabilities spread across components of a software package. This supports more accurate impact analysis a…

cs.CR2026

Does Teaming-Up LLMs Improve Secure Code Generation? A Comprehensive Evaluation with Multi-LLMSecCodeEval

Bushra Sabir, Shigang Liu, Seung Ick Jang +6

Automatically generating source code from natural language using large language models (LLMs) is becoming common, yet security vulnerabilities persist despite advances in fine tuni…

cs.CR2026

When the Abyss Looks Back: Unveiling Evolving Dark Patterns in Cookie Consent Banners

Nivedita Singh, Seyoung Jin, Hyoungshick Kim

To comply with data protection regulations such as the EU General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), websites widely deploy cookie co…