Cover Image

A Constant-Time Implementation Methodology for Activation Functions on Microcontrollers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tyvodar, Andrii, Rechberger, Andreas, Jap, Dirmanto, Bhasin, Shivam, Jungk, Bernhard, Breier, Jakub, Hou, Xiaolu
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Side-Channel Analysis of OpenVINO-based Neural Network Models
by: Jap, Dirmanto, et al.
Published: (2024)

Beyond TVLA: Anderson-Darling Leakage Assessment for Neural Network Side-Channel Leakage Detection
by: Mikulec, Ján, et al.
Published: (2026)

The Weight of a Bit: EMFI Sensitivity Analysis of Embedded Deep Learning Models
by: Breier, Jakub, et al.
Published: (2026)

Characterizing the Fault Response of the Intel Neural Compute Stick 2 Under Single-Pulse Electromagnetic Fault Injection
by: Kučerák, Štefan, et al.
Published: (2026)

DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural Networks
by: Velčický, Patrik, et al.
Published: (2024)

Make Shuffling Great Again: A Side-Channel Resistant Fisher-Yates Algorithm for Protecting Neural Networks
by: Puškáč, Leonard, et al.
Published: (2025)

RMF: A Risk Measurement Framework for Machine Learning Models
by: Schröder, Jan, et al.
Published: (2024)

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems
by: Balashov, Andrii, et al.
Published: (2025)

Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
by: Lam, Maximilian, et al.
Published: (2022)

Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting
by: Liu, Zhixin, et al.
Published: (2026)

Like an Open Book? Read Neural Network Architecture with Simple Power Analysis on 32-bit Microcontrollers
by: Joud, Raphael, et al.
Published: (2023)

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
by: Yan, Guang, et al.
Published: (2025)

Hierarchical Pattern Decryption Methodology for Ransomware Detection Using Probabilistic Cryptographic Footprints
by: Pekepok, Kevin, et al.
Published: (2025)

A Systematic Review of Algorithmic Red Teaming Methodologies for Assurance and Security of AI Applications
by: Srivastava, Shruti, et al.
Published: (2026)

Towards the Development of an LLM-Based Methodology for Automated Security Profiling in Compliance with Ukrainian Cybersecurity Regulations
by: Shafranskyi, Daniil, et al.
Published: (2026)

Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning
by: Szelag, Jakub Kacper, et al.
Published: (2025)

MemLineage: Lineage-Guided Enforcement for LLM Agent Memory
by: Ouyang, Ciyan, et al.
Published: (2026)

Unmasking the Shadows: Pinpoint the Implementations of Anti-Dynamic Analysis Techniques in Malware Using LLM
by: Wang, Haizhou, et al.
Published: (2024)

Refusal Before Decoding: Detecting and Exploiting Refusal Signals in Intermediate LLM Activations
by: Collu, Matteo Gioele, et al.
Published: (2026)

Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering
by: Res, Jakub, et al.
Published: (2024)

AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks
by: Xu, Jiacen, et al.
Published: (2024)

Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection
by: Kulkarni, Prashant
Published: (2026)

Steering Externalities: Benign Activation Steering Unintentionally Increases Jailbreak Risk for Large Language Models
by: Xiong, Chen, et al.
Published: (2026)

RAJ-PGA: Reasoning-Activated Jailbreak and Principle-Guided Alignment Framework for Large Reasoning Models
by: Chen, Jianhao, et al.
Published: (2025)

Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense
by: Zhang, Jiawen, et al.
Published: (2025)

GUARD-SLM: Token Activation-Based Defense Against Jailbreak Attacks for Small Language Models
by: Mia, Md Jueal, et al.
Published: (2026)

RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis
by: Tan, Xue, et al.
Published: (2024)

On the (In)Security of LLM App Stores
by: Hou, Xinyi, et al.
Published: (2024)

Are LLMs Vulnerable to Preference-Undermining Attacks (PUA)? A Factorial Analysis Methodology for Diagnosing the Trade-off between Preference Alignment and Real-World Validity
by: An, Hongjun, et al.
Published: (2026)

Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
by: Han, Shanshan, et al.
Published: (2023)

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning
by: Ghali, Mehdi Ben, et al.
Published: (2025)

Blue Teaming Function-Calling Agents
by: Dolcetti, Greta, et al.
Published: (2026)

Mind the Gap: Time-of-Check to Time-of-Use Vulnerabilities in LLM-Enabled Agents
by: Lilienthal, Derek, et al.
Published: (2025)

Practical and Ready-to-Use Methodology to Assess the re-identification Risk in Anonymized Datasets
by: Sondeck, Louis-Philippe, et al.
Published: (2025)

Benchmarking Practices in LLM-driven Offensive Security: Testbeds, Metrics, and Experiment Design
by: Happe, Andreas, et al.
Published: (2025)

SkillSieve: A Hierarchical Triage Framework for Detecting Malicious AI Agent Skills
by: Hou, Yinghan, et al.
Published: (2026)

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
by: Hou, Xinyi, et al.
Published: (2025)

Functional Subspace Watermarking for Large Language Models
by: Ding, Zikang, et al.
Published: (2026)

LLM App Squatting and Cloning
by: Xie, Yinglin, et al.
Published: (2024)

Adaptive Plan-Execute Framework for Smart Contract Security Auditing
by: Wei, Zhiyuan, et al.
Published: (2025)