Can LLMs Make (Personalized) Access Control Decisions?
Fuente:
arXiv
Saved in:
| Main Authors: | Groschupp, Friederike, Lain, Daniele, Dhar, Aritra, Lazier, Lara Magdalena, Čapkun, Srdjan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AC-LoRA: (Almost) Training-Free Access Control-Aware Multi-Modal LLMs
by: Lazier, Lara Magdalena, et al.
Published: (2025)
by: Lazier, Lara Magdalena, et al.
Published: (2025)
AEX-NStep: Probabilistic Interrupt Counting Attacks on Intel SGX
by: Dutly, Nicolas, et al.
Published: (2025)
by: Dutly, Nicolas, et al.
Published: (2025)
URL Inspection Tasks: Helping Users Detect Phishing Links in Emails
by: Lain, Daniele, et al.
Published: (2025)
by: Lain, Daniele, et al.
Published: (2025)
Breaking Bad: How Compilers Break Constant-Time Implementations
by: Schneider, Moritz, et al.
Published: (2024)
by: Schneider, Moritz, et al.
Published: (2024)
Content, Nudges and Incentives: A Study on the Effectiveness and Perception of Embedded Phishing Training
by: Lain, Daniele, et al.
Published: (2024)
by: Lain, Daniele, et al.
Published: (2024)
Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads
by: Dhar, Aritra, et al.
Published: (2024)
by: Dhar, Aritra, et al.
Published: (2024)
Devlore: Device Interrupt Protection for Confidential VMs
by: Bertschi, Andrin, et al.
Published: (2024)
by: Bertschi, Andrin, et al.
Published: (2024)
Security Analysis of Time-of-Arrival Estimation via Cross-Correlation under Narrow-Band Conditions
by: Anliker, Claudio, et al.
Published: (2026)
by: Anliker, Claudio, et al.
Published: (2026)
Gyokuro: Source-assisted Private Membership Testing using Trusted Execution Environments
by: Nakatsuka, Yoshimichi, et al.
Published: (2026)
by: Nakatsuka, Yoshimichi, et al.
Published: (2026)
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems
by: Jiao, Ruochen, et al.
Published: (2024)
by: Jiao, Ruochen, et al.
Published: (2024)
You Can Backdoor Personalized Federated Learning
by: Ye, Tiandi, et al.
Published: (2023)
by: Ye, Tiandi, et al.
Published: (2023)
5Gone: Uplink Overshadowing Attacks in 5G-SA
by: Erni, Simon, et al.
Published: (2026)
by: Erni, Simon, et al.
Published: (2026)
Permissioned LLMs: Enforcing Access Control in Large Language Models
by: Jayaraman, Bargav, et al.
Published: (2025)
by: Jayaraman, Bargav, et al.
Published: (2025)
Aero-LLM: A Distributed Framework for Secure UAV Communication and Intelligent Decision-Making
by: Dharmalingam, Balakrishnan, et al.
Published: (2025)
by: Dharmalingam, Balakrishnan, et al.
Published: (2025)
Generating Privacy-Preserving Personalized Advice with Zero-Knowledge Proofs and LLMs
by: Watanabe, Hiroki, et al.
Published: (2025)
by: Watanabe, Hiroki, et al.
Published: (2025)
Enhancing Decision-Making in Windows PE Malware Classification During Dataset Shifts with Uncertainty Estimation
by: Yumlembam, Rahul, et al.
Published: (2025)
by: Yumlembam, Rahul, et al.
Published: (2025)
Cracking IoT Security: Can LLMs Outsmart Static Analysis Tools?
by: Quantrill, Jason, et al.
Published: (2026)
by: Quantrill, Jason, et al.
Published: (2026)
RAGent: Retrieval-based Access Control Policy Generation
by: Jayasundara, Sakuna Harinda, et al.
Published: (2024)
by: Jayasundara, Sakuna Harinda, et al.
Published: (2024)
ACSE-Eval: Can LLMs threat model real-world cloud infrastructure?
by: Munshi, Sarthak, et al.
Published: (2025)
by: Munshi, Sarthak, et al.
Published: (2025)
LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring
by: Li, Chloe, et al.
Published: (2025)
by: Li, Chloe, et al.
Published: (2025)
Enterprise AI Must Enforce Participant-Aware Access Control
by: Bhatt, Shashank Shreedhar, et al.
Published: (2025)
by: Bhatt, Shashank Shreedhar, et al.
Published: (2025)
PayOff: A Regulated Central Bank Digital Currency with Private Offline Payments
by: Beer, Carolin, et al.
Published: (2024)
by: Beer, Carolin, et al.
Published: (2024)
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner
by: Wang, Xunguang, et al.
Published: (2024)
by: Wang, Xunguang, et al.
Published: (2024)
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data
by: Benabderrahmane, Sidahmed, et al.
Published: (2024)
by: Benabderrahmane, Sidahmed, et al.
Published: (2024)
CurricuLLM: Designing Personalized and Workforce-Aligned Cybersecurity Curricula Using Fine-Tuned LLMs
by: Nijdam, Arthur, et al.
Published: (2026)
by: Nijdam, Arthur, et al.
Published: (2026)
Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense
by: Zhang, Jiawen, et al.
Published: (2025)
by: Zhang, Jiawen, et al.
Published: (2025)
LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper
by: Wu, Daoyuan, et al.
Published: (2024)
by: Wu, Daoyuan, et al.
Published: (2024)
LLMAC: A Global and Explainable Access Control Framework with Large Language Model
by: Zisad, Sharif Noor, et al.
Published: (2026)
by: Zisad, Sharif Noor, et al.
Published: (2026)
A Novel Access Control and Privacy-Enhancing Approach for Models in Edge Computing
by: Li, Peihao
Published: (2024)
by: Li, Peihao
Published: (2024)
SpanKey: Dynamic Key Space Conditioning for Neural Network Access Control
by: Yan, WenBin
Published: (2026)
by: Yan, WenBin
Published: (2026)
GPT, Ontology, and CAABAC: A Tripartite Personalized Access Control Model Anchored by Compliance, Context and Attribute
by: Nowrozy, Raza, et al.
Published: (2024)
by: Nowrozy, Raza, et al.
Published: (2024)
Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent
by: Shang, Shang, et al.
Published: (2024)
by: Shang, Shang, et al.
Published: (2024)
OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distribution
by: Cheng, Zerui, et al.
Published: (2024)
by: Cheng, Zerui, et al.
Published: (2024)
Aster: Fixing the Android TEE Ecosystem with Arm CCA
by: Kuhne, Mark, et al.
Published: (2024)
by: Kuhne, Mark, et al.
Published: (2024)
Prompts Don't Protect: Architectural Enforcement via MCP Proxy for LLM Tool Access Control
by: Uppala, Rohith
Published: (2026)
by: Uppala, Rohith
Published: (2026)
Fooling SHAP with Output Shuffling Attacks
by: Yuan, Jun, et al.
Published: (2024)
by: Yuan, Jun, et al.
Published: (2024)
When Grammar Guides the Attack: Uncovering Control-Plane Vulnerabilities in LLMs with Structured Output
by: Zhang, Shuoming, et al.
Published: (2025)
by: Zhang, Shuoming, et al.
Published: (2025)
Can LLMs Infer Conversational Agent Users' Personality Traits from Chat History?
by: Cögendez, Derya, et al.
Published: (2026)
by: Cögendez, Derya, et al.
Published: (2026)
Key-Conditioned Orthonormal Transform Gating (K-OTG): Multi-Key Access Control with Hidden-State Scrambling for LoRA-Tuned Models
by: Khan, Muhammad Haris
Published: (2025)
by: Khan, Muhammad Haris
Published: (2025)
AC4A: Access Control for Agents
by: Sharma, Reshabh K, et al.
Published: (2026)
by: Sharma, Reshabh K, et al.
Published: (2026)
Similar Items
-
AC-LoRA: (Almost) Training-Free Access Control-Aware Multi-Modal LLMs
by: Lazier, Lara Magdalena, et al.
Published: (2025) -
AEX-NStep: Probabilistic Interrupt Counting Attacks on Intel SGX
by: Dutly, Nicolas, et al.
Published: (2025) -
URL Inspection Tasks: Helping Users Detect Phishing Links in Emails
by: Lain, Daniele, et al.
Published: (2025) -
Breaking Bad: How Compilers Break Constant-Time Implementations
by: Schneider, Moritz, et al.
Published: (2024) -
Content, Nudges and Incentives: A Study on the Effectiveness and Perception of Embedded Phishing Training
by: Lain, Daniele, et al.
Published: (2024)