Copertina

UEFI Memory Forensics: A Framework for UEFI Threat Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Segal, Kalanit Suzan, Gorelik, Hadar Cochavi, Brodt, Oleg, Elbahar, Yuval, Elovici, Yuval, Shabtai, Asaf
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Peacock: UEFI Firmware Runtime Observability Layer for Detection and Response
di: Gorelik, Hadar Cochavi, et al.
Pubblicazione: (2026)

Detection of Compromised Functions in a Serverless Cloud Environment
di: Lavi, Danielle, et al.
Pubblicazione: (2024)

DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation
di: Segal, Tom, et al.
Pubblicazione: (2024)

SoK: Cybersecurity Assessment of Humanoid Ecosystem
di: Surve, Priyanka Prakash, et al.
Pubblicazione: (2025)

MIA-EPT: Membership Inference Attack via Error Prediction for Tabular Data
di: German, Eyal, et al.
Pubblicazione: (2025)

Real-World Adversarial Attacks on RF-Based Drone Detectors
di: Gazit, Omer, et al.
Pubblicazione: (2025)

Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack
di: Antebi, Sagiv, et al.
Pubblicazione: (2025)

RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning
di: Amaru, Yonatan, et al.
Pubblicazione: (2024)

From Tool Orchestration to Code Execution: A Study of MCP Design Choices
di: Felendler, Yuval, et al.
Pubblicazione: (2026)

LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTI
di: Schwartz, Yuval, et al.
Pubblicazione: (2024)

RuleGenie: SIEM Detection Rule Set Optimization
di: Shukla, Akansha, et al.
Pubblicazione: (2025)

UEFI Vulnerability Signature Generation using Static and Symbolic Analysis
di: Shafiuzzaman, Md, et al.
Pubblicazione: (2024)

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs
di: German, Eyal, et al.
Pubblicazione: (2025)

A UEFI System with SPDM to Protect Against Unauthorized Device Connections
di: de Freitas, Ágatha, et al.
Pubblicazione: (2026)

QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
di: Baras, Amit, et al.
Pubblicazione: (2023)

Observability and Incident Response in Managed Serverless Environments Using Ontology-Based Log Monitoring
di: Ben-Shimol, Lavi, et al.
Pubblicazione: (2024)

Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp
di: Aizikovich, Eran, et al.
Pubblicazione: (2025)

LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data
di: German, Eyal, et al.
Pubblicazione: (2025)

ATAG: AI-Agent Application Threat Assessment with Attack Graphs
di: Gandhi, Parth Atulbhai, et al.
Pubblicazione: (2025)

SHIELD: APT Detection and Intelligent Explanation Using LLM
di: Gandhi, Parth Atulbhai, et al.
Pubblicazione: (2025)

KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis
di: Cohen, Omri Sgan, et al.
Pubblicazione: (2025)

GPT in Sheep's Clothing: The Risk of Customized GPTs
di: Antebi, Sagiv, et al.
Pubblicazione: (2024)

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers
di: Yehezkel, Oryan, et al.
Pubblicazione: (2024)

Rule-ATT&CK Mapper (RAM): Mapping SIEM Rules to TTPs Using LLMs
di: Wudali, Prasanna N., et al.
Pubblicazione: (2025)

GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation
di: Malul, Ehud, et al.
Pubblicazione: (2024)

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World
di: Biton, Dudi, et al.
Pubblicazione: (2025)

AgentGuardian: Learning Access Control Policies to Govern AI Agent Behavior
di: Abaev, Nadya, et al.
Pubblicazione: (2026)

SCyTAG: Scalable Cyber-Twin for Threat-Assessment Based on Attack Graphs
di: Tayouri, David, et al.
Pubblicazione: (2025)

SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization
di: Meidan, Yair, et al.
Pubblicazione: (2026)

FRAME : Comprehensive Risk Assessment Framework for Adversarial Machine Learning Threats
di: Shapira, Avishag, et al.
Pubblicazione: (2025)

CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants
di: Noah, Amit Finkman, et al.
Pubblicazione: (2024)

LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
di: Solomon, Ron, et al.
Pubblicazione: (2025)

Provably Protecting Fine-Tuned LLMs from Training Data Extraction while Preserving Utility
di: Segal, Tom, et al.
Pubblicazione: (2026)

Transferability Ranking of Adversarial Examples
di: Levy, Mosh, et al.
Pubblicazione: (2022)

ConGISATA: A Framework for Continuous Gamified Information Security Awareness Training and Assessment
di: Cohen, Ofir, et al.
Pubblicazione: (2026)

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
di: Shuster, Shaun, et al.
Pubblicazione: (2025)

LED there be DoS: Exploiting variable bitrate IP cameras for network DoS
di: Goldberg, Emmanuel, et al.
Pubblicazione: (2025)

Enhancing Energy Sector Resilience: Integrating Security by Design Principles
di: Shirtz, Dov, et al.
Pubblicazione: (2024)

The Promptware Kill Chain: How Prompt Injections Gradually Evolved Into a Multistep Malware Delivery Mechanism
di: Brodt, Oleg, et al.
Pubblicazione: (2026)

LISAA: A Framework for Large Language Model Information Security Awareness Assessment
di: Cohen, Ofir, et al.
Pubblicazione: (2024)