Cover Image

Physical and Software Based Fault Injection Attacks Against TEEs in Mobile Devices: A Systemisation of Knowledge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Joy, Aaron, Soh, Ben, Zhang, Zhi, Parameswaran, Sri, Jayasinghe, Darshana
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Social Engineering Attacks: A Systemisation of Knowledge on People Against Humans
by: Thomson, Scott, et al.
Published: (2025)

Fast Selective Flushing to Mitigate Contention-based Cache Timing Attacks
by: Li, Tuo, et al.
Published: (2022)

Injection Attacks Against End-to-End Encrypted Applications
by: Fábrega, Andrés, et al.
Published: (2024)

Defense Against Prompt Injection Attack by Leveraging Attack Techniques
by: Chen, Yulin, et al.
Published: (2024)

Empirical Security Analysis of Software-based Fault Isolation through Controlled Fault Injection
by: Bars, Nils, et al.
Published: (2025)

SoK: A Beginner-Friendly Introduction to Fault Injection Attacks
by: Liu, Christopher Simon, et al.
Published: (2025)

Node Injection Attack Based on Label Propagation Against Graph Neural Network
by: Zhu, Peican, et al.
Published: (2024)

The Forking Way: When TEEs Meet Consensus
by: Wilde, Annika, et al.
Published: (2024)

WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
by: Evtimov, Ivan, et al.
Published: (2025)

ParTEETor: A System for Partial Deployments of TEEs within Tor
by: King, Rachel, et al.
Published: (2024)

CrudiTEE: A Stick-and-Carrot Approach to Building Trustworthy Cryptocurrency Wallets with TEEs
by: Zhou, Lulu, et al.
Published: (2024)

Enhancing the Security of Rollup Sequencers using Decentrally Attested TEEs
by: Cristiano, Giovanni Maria, et al.
Published: (2025)

Dorami: Privilege Separating Security Monitor on RISC-V TEEs
by: Kuhne, Mark, et al.
Published: (2024)

Narrowing the Gap between TEEs Threat Model and Deployment Strategies
by: Rezabek, Filip, et al.
Published: (2025)

AttackEval: A Systematic Empirical Study of Prompt Injection Attack Effectiveness Against Large Language Models
by: Wang, Jackson
Published: (2026)

A Signal Injection Attack Against Zero Involvement Pairing and Authentication for the Internet of Things
by: Ahlgren, Isaac, et al.
Published: (2024)

On Jailbreaking Quantized Language Models Through Fault Injection Attacks
by: Zahran, Noureldin, et al.
Published: (2025)

Exploiting Leakage in Password Managers via Injection Attacks
by: Fábrega, Andrés, et al.
Published: (2024)

Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
by: Jaiswal, Piyush, et al.
Published: (2026)

Securing AI Agents Against Prompt Injection Attacks
by: Ramakrishnan, Badrinath, et al.
Published: (2025)

AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs
by: Wang, Yihan, et al.
Published: (2025)

Attention is All You Need to Defend Against Indirect Prompt Injection Attacks in LLMs
by: Zhong, Yinan, et al.
Published: (2025)

Research Directions for Verifiable Crypto-Physically Secure TEEs
by: Bellemare, Sylvain
Published: (2024)

Rollbaccine : Herd Immunity against Storage Rollback Attacks in TEEs [Technical Report]
by: Chu, David, et al.
Published: (2025)

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
by: Wang, Zhilong, et al.
Published: (2025)

Laser Fault Injection Attacks against Radiation Tolerant TMR Registers
by: Petryk, Dmytro, et al.
Published: (2024)

A Novel Evaluation Framework for Assessing Resilience Against Prompt Injection Attacks in Large Language Models
by: Yip, Daniel Wankit, et al.
Published: (2024)

PrometheusFree: Concurrent Detection of Laser Fault Injection Attacks in Optical Neural Networks
by: Nishida, Kota, et al.
Published: (2024)

Strengthening Polymorphic Prompt Assembling: Dynamic Separator Generation Against Emerging Prompt Injection Attacks
by: Dorzhiev, Nima, et al.
Published: (2026)

Physical Backdoor Attack Against Deep Learning-Based Modulation Classification
by: Salmi, Younes, et al.
Published: (2026)

Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI Agents
by: Crawford, Brian, et al.
Published: (2026)

Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification
by: Rantahalvari, Erkka, et al.
Published: (2026)

Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
by: Zhan, Qiusi, et al.
Published: (2025)

A Fast-Detection and Fault-Correction Algorithm against Persistent Fault Attack
by: Cheng, Yukun, et al.
Published: (2021)

Fault Injection and Safe-Error Attack for Extraction of Embedded Neural Network Models
by: Hector, Kevin, et al.
Published: (2023)

A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
by: Hossain, S M Asif, et al.
Published: (2025)

Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning
by: Wang, Chenan, et al.
Published: (2024)

Fastrack: Fast IO for Secure ML using GPU TEEs
by: Wang, Yongqin, et al.
Published: (2024)

Fault Injection Attacks on Machine Learning-based Quantum Computer Readout Error Correction
by: Etim, Anthony, et al.
Published: (2025)

Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks
by: Chen, Sizhe, et al.
Published: (2025)