Copertina

Risk Averse Alert Prioritization for IDS Using Subnormal Gaussian Fuzzy Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Moran, Murat
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Cryptography and Security Artificial Intelligence Human-Computer Interaction Machine Learning Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models
di: Derner, Erik, et al.
Pubblicazione: (2023)

Decision-Aware Trust Signal Alignment for SOC Alert Triage
di: Chowdhury, Israt Jahan, et al.
Pubblicazione: (2026)

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
di: Mitra, Shaswata, et al.
Pubblicazione: (2025)

Intolerable Risk Threshold Recommendations for Artificial Intelligence
di: Raman, Deepika, et al.
Pubblicazione: (2025)

A Human-Centered Privacy Approach (HCP) to AI
di: Sun, Luyi, et al.
Pubblicazione: (2026)

Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces
di: Lugoloobi, William, et al.
Pubblicazione: (2026)

Generative AI-based closed-loop fMRI system
di: Kasahara, Mikihiro, et al.
Pubblicazione: (2024)

IFTT-PIN: A Self-Calibrating PIN-Entry Method
di: McConkey, Kathryn, et al.
Pubblicazione: (2024)

Identify As A Human Does: A Pathfinder of Next-Generation Anti-Cheat Framework for First-Person Shooter Games
di: Zhang, Jiayi, et al.
Pubblicazione: (2024)

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
di: Zarlenga, Mateo Espinosa, et al.
Pubblicazione: (2025)

Distinguishing Scams and Fraud with Ensemble Learning
di: Chadalavada, Isha, et al.
Pubblicazione: (2024)

Towards Automating Data Access Permissions in AI Agents
di: Wu, Yuhao, et al.
Pubblicazione: (2025)

LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses
di: Lin, Weiran, et al.
Pubblicazione: (2024)

Adversarial Attacks on Machine Learning-Aided Visualizations
di: Fujiwara, Takanori, et al.
Pubblicazione: (2024)

DASH: Deception-Augmented Shared Mental Model for a Human-Machine Teaming System
di: Wan, Zelin, et al.
Pubblicazione: (2025)

"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents
di: Zhang, Zhiping, et al.
Pubblicazione: (2023)

Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
di: Bozkir, Efe, et al.
Pubblicazione: (2023)

PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT
di: Roy, Sayak Saha, et al.
Pubblicazione: (2024)

Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
di: Jana, Abhishek, et al.
Pubblicazione: (2020)

Current state of LLM Risks and AI Guardrails
di: Ayyamperumal, Suriya Ganesh, et al.
Pubblicazione: (2024)

Can LLM-Generated Misinformation Be Detected?
di: Chen, Canyu, et al.
Pubblicazione: (2023)

PerOS: Personalized Self-Adapting Operating Systems in the Cloud
di: Hè, Hongyu
Pubblicazione: (2024)

Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework
di: Dassanayake, Rishane, et al.
Pubblicazione: (2025)

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents
di: Wu, Liangxuan, et al.
Pubblicazione: (2025)

Device-Native Autonomous Agents for Privacy-Preserving Negotiations
di: Roy, Joyjit, et al.
Pubblicazione: (2026)

Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
di: Chen, Xiaoqing, et al.
Pubblicazione: (2022)

Personalised Feedback Framework for Online Education Programmes Using Generative AI
di: Kuzminykh, Ievgeniia, et al.
Pubblicazione: (2024)

InjectLab: A Tactical Framework for Adversarial Threat Modeling Against Large Language Models
di: Howard, Austin
Pubblicazione: (2025)

Usability Study of Security Features in Programmable Logic Controllers
di: Li, Karen, et al.
Pubblicazione: (2022)

SECURE: Benchmarking Large Language Models for Cybersecurity
di: Bhusal, Dipkamal, et al.
Pubblicazione: (2024)

Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis
di: Esposito, Matteo, et al.
Pubblicazione: (2024)

Human-Centered Privacy Research in the Age of Large Language Models
di: Li, Tianshi, et al.
Pubblicazione: (2024)

"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications
di: West, Jack, et al.
Pubblicazione: (2025)

Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent
di: Zhang, Zhiping, et al.
Pubblicazione: (2024)

Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
di: Gueriani, Afrah, et al.
Pubblicazione: (2025)

Triple-Identity Authentication: The Future of Secure Access
di: Borjigin, Suyun
Pubblicazione: (2025)

Stochastic Modeling of Human-Machine Authentication Channels under Partial Information Leakage
di: Chakraborty, Nilesh, et al.
Pubblicazione: (2026)

"Think First, Verify Always": Training Humans to Face AI Risks
di: Aydin, Yuksel
Pubblicazione: (2025)

Alert of the Second Decision-maker: An Introduction to Human-AI Conflict
di: Wen, He
Pubblicazione: (2023)

When Ads Become Profiles: Uncovering the Invisible Risk of Web Advertising at Scale with LLMs
di: Chen, Baiyu, et al.
Pubblicazione: (2025)