Cover Image

DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Segal, Tom, Shabtai, Asaf, Elovici, Yuval
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Watermarking Makes Language Models Radioactive
by: Sander, Tom, et al.
Published: (2024)

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

Detecting Training Data of Large Language Models via Expectation Maximization
by: Kim, Gyuwan, et al.
Published: (2024)

Extracting Training Data from Diffusion Language Models via Infilling
by: Wang, Yihan, et al.
Published: (2026)

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

The Dark Side of Human Feedback: Poisoning Large Language Models via User Inputs
by: Chen, Bocheng, et al.
Published: (2024)

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
by: Wang, Guanchu, et al.
Published: (2024)

Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
by: Xu, Yijie, et al.
Published: (2025)

Lifelong Safety Alignment for Language Models
by: Wang, Haoyu, et al.
Published: (2025)

Instructional Fingerprinting of Large Language Models
by: Xu, Jiashu, et al.
Published: (2024)

Personal Information Parroting in Language Models
by: Subramani, Nishant, et al.
Published: (2026)

An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
by: Boreiko, Valentyn, et al.
Published: (2024)

MEUV: Achieving Fine-Grained Capability Activation in Large Language Models via Mutually Exclusive Unlock Vectors
by: Tong, Xin, et al.
Published: (2025)

Rethinking How to Evaluate Language Model Jailbreak
by: Cai, Hongyu, et al.
Published: (2024)

Large Language Models in Cybersecurity: State-of-the-Art
by: Motlagh, Farzad Nourmohammadzadeh, et al.
Published: (2024)

Duwak: Dual Watermarks in Large Language Models
by: Zhu, Chaoyi, et al.
Published: (2024)

Jailbreaking Large Language Models with Symbolic Mathematics
by: Bethany, Emet, et al.
Published: (2024)

Learnable Privacy Neurons Localization in Language Models
by: Chen, Ruizhe, et al.
Published: (2024)

On Adversarial Robustness of Language Models in Transfer Learning
by: Turbal, Bohdan, et al.
Published: (2024)

Directional Embedding Smoothing for Robust Vision Language Models
by: Wang, Ye, et al.
Published: (2026)

The Resurgence of GCG Adversarial Attacks on Large Language Models
by: Tan, Yuting, et al.
Published: (2025)