Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Gijung, Bowman, Wavid, Dizon-Paradis, Olivia, Dizon-Paradis, Reiner, Wilson, Ronald, Woodard, Damon, Forte, Domenic |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Data-Free Membership Inference Attack on Federated Learning in Hardware Assurance
by: Lee, Gijung, et al.
Published: (2026)
by: Lee, Gijung, et al.
Published: (2026)
DECIFR: Domain-Aware Exfiltration of Circuit Information from Federated Gradient Reconstruction
by: Lee, Gijung, et al.
Published: (2026)
by: Lee, Gijung, et al.
Published: (2026)
Scalable IP Mimicry: End-to-End Deceptive IP Blending to Overcome Rectification and Scale Limitations of IP Camouflage
by: Fan, Junling, et al.
Published: (2025)
by: Fan, Junling, et al.
Published: (2025)
Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
by: Hussain, Mohyeu, et al.
Published: (2026)
by: Hussain, Mohyeu, et al.
Published: (2026)
Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities
by: Swarup, Anushka, et al.
Published: (2024)
by: Swarup, Anushka, et al.
Published: (2024)
Is the Digital Forensics and Incident Response Pipeline Ready for Text-Based Threats in LLM Era?
by: Bhandarkar, Avanti, et al.
Published: (2024)
by: Bhandarkar, Avanti, et al.
Published: (2024)
Disguising Topology and Side-Channel Information through Covert Gate- and ML-Enabled IP Camouflaging
by: Fan, Junling, et al.
Published: (2026)
by: Fan, Junling, et al.
Published: (2026)
Multimodal Instruction Disassembly with Covariate Shift Adaptation and Real-time Implementation
by: Bai, Yunkai, et al.
Published: (2024)
by: Bai, Yunkai, et al.
Published: (2024)
Designing with Deception: ML- and Covert Gate-Enhanced Camouflaging to Thwart IC Reverse Engineering
by: Fan, Junling, et al.
Published: (2025)
by: Fan, Junling, et al.
Published: (2025)
RandOhm: Mitigating Impedance Side-channel Attacks using Randomized Circuit Configurations
by: Monfared, Saleh Khalaj, et al.
Published: (2024)
by: Monfared, Saleh Khalaj, et al.
Published: (2024)
In-Situ Thickness Measurement of Die Silicon Using Voltage Imaging for Hardware Assurance
by: Dizon-Paradis, Olivia P., et al.
Published: (2023)
by: Dizon-Paradis, Olivia P., et al.
Published: (2023)
TRANSPOSE: Transitional Approaches for Spatially-Aware LFI Resilient FSM Encoding
by: Choudhury, Muhtadi, et al.
Published: (2024)
by: Choudhury, Muhtadi, et al.
Published: (2024)
LaserEscape: Detecting and Mitigating Optical Probing Attacks
by: Monfared, Saleh Khalaj, et al.
Published: (2024)
by: Monfared, Saleh Khalaj, et al.
Published: (2024)
Quantization-aware Neural Architectural Search for Intrusion Detection
by: Acharya, Rabin Yu, et al.
Published: (2023)
by: Acharya, Rabin Yu, et al.
Published: (2023)
Design for Assurance: Employing Functional Verification Tools for Thwarting Hardware Trojan Threat in 3PIPs
by: Hu, Wei, et al.
Published: (2023)
by: Hu, Wei, et al.
Published: (2023)
Towards Understanding and Applying Security Assurance Cases for Automotive Systems
by: Mohamad, Mazen
Published: (2024)
by: Mohamad, Mazen
Published: (2024)
Programmable EM Sensor Array for Golden-Model Free Run-time Trojan Detection and Localization
by: Wang, Hanqiu, et al.
Published: (2024)
by: Wang, Hanqiu, et al.
Published: (2024)
The Pitfalls of "Security by Obscurity" And What They Mean for Transparent AI
by: Hall, Peter, et al.
Published: (2025)
by: Hall, Peter, et al.
Published: (2025)
MCP Pitfall Lab: Exposing Developer Pitfalls in MCP Tool Server Security under Multi-Vector Attacks
by: Hao, Run, et al.
Published: (2026)
by: Hao, Run, et al.
Published: (2026)
A Persistent Hierarchical Bloom Filter-based Framework for Authentication and Tracking of ICs
by: Shishir, Fairuz Shadmani, et al.
Published: (2024)
by: Shishir, Fairuz Shadmani, et al.
Published: (2024)
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
by: Hiniduma, Kaveen, et al.
Published: (2025)
by: Hiniduma, Kaveen, et al.
Published: (2025)
Chasing Shadows: Pitfalls in LLM Security Research
by: Evertz, Jonathan, et al.
Published: (2025)
by: Evertz, Jonathan, et al.
Published: (2025)
Hermes Seal: Zero-Knowledge Assurance for Autonomous Vehicle Communications
by: Hasan, Munawar, et al.
Published: (2026)
by: Hasan, Munawar, et al.
Published: (2026)
Cloud Security Assurance: Strategies for Encryption in Digital Forensic Readiness
by: Alenezi, Ahmed MohanRaj
Published: (2024)
by: Alenezi, Ahmed MohanRaj
Published: (2024)
SoK: An Essential Guide For Using Malware Sandboxes In Security Applications: Challenges, Pitfalls, and Lessons Learned
by: Alrawi, Omar, et al.
Published: (2024)
by: Alrawi, Omar, et al.
Published: (2024)
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
by: McFadden, Shae, et al.
Published: (2026)
by: McFadden, Shae, et al.
Published: (2026)
PyPitfall: Dependency Chaos and Software Supply Chain Vulnerabilities in Python
by: Mahon, Jacob, et al.
Published: (2025)
by: Mahon, Jacob, et al.
Published: (2025)
Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware
by: Huang, Pengzhi, et al.
Published: (2022)
by: Huang, Pengzhi, et al.
Published: (2022)
Analysing the Safety Pitfalls of Steering Vectors
by: Li, Yuxiao, et al.
Published: (2026)
by: Li, Yuxiao, et al.
Published: (2026)
Hardware Honeypot: Setting Sequential Reverse Engineering on a Wrong Track
by: Brunner, Michaela, et al.
Published: (2023)
by: Brunner, Michaela, et al.
Published: (2023)
No More Hidden Pitfalls? Exposing Smart Contract Bad Practices with LLM-Powered Hybrid Analysis
by: Li, Xiaoqi, et al.
Published: (2025)
by: Li, Xiaoqi, et al.
Published: (2025)
APILOT: Navigating Large Language Models to Generate Secure Code by Sidestepping Outdated API Pitfalls
by: Bai, Weiheng, et al.
Published: (2024)
by: Bai, Weiheng, et al.
Published: (2024)
Detecting Hardware Trojans in Microprocessors via Hardware Error Correction Code-based Modules
by: Palumbo, Alessandro, et al.
Published: (2025)
by: Palumbo, Alessandro, et al.
Published: (2025)
FederBoost: Private Federated Learning for GBDT
by: Tian, Zhihua, et al.
Published: (2020)
by: Tian, Zhihua, et al.
Published: (2020)
On the Impact of the Hardware Warm-Up Time on Deep Learning-Based RF Fingerprinting
by: Elmaghbub, Abdurrahman, et al.
Published: (2023)
by: Elmaghbub, Abdurrahman, et al.
Published: (2023)
Showing the Receipts: Understanding the Modern Ransomware Ecosystem
by: Cable, Jack, et al.
Published: (2024)
by: Cable, Jack, et al.
Published: (2024)
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
by: Khan, Momin Ahmad, et al.
Published: (2025)
by: Khan, Momin Ahmad, et al.
Published: (2025)
Privacy in Federated Learning
by: Sen, Jaydip, et al.
Published: (2024)
by: Sen, Jaydip, et al.
Published: (2024)
Generalized Power Attacks against Crypto Hardware using Long-Range Deep Learning
by: Bursztein, Elie, et al.
Published: (2023)
by: Bursztein, Elie, et al.
Published: (2023)
Applying Action Masking and Curriculum Learning Techniques to Improve Data Efficiency and Overall Performance in Operational Technology Cyber Security using Reinforcement Learning
by: Wilson, Alec, et al.
Published: (2024)
by: Wilson, Alec, et al.
Published: (2024)
Similar Items
-
A Data-Free Membership Inference Attack on Federated Learning in Hardware Assurance
by: Lee, Gijung, et al.
Published: (2026) -
DECIFR: Domain-Aware Exfiltration of Circuit Information from Federated Gradient Reconstruction
by: Lee, Gijung, et al.
Published: (2026) -
Scalable IP Mimicry: End-to-End Deceptive IP Blending to Overcome Rectification and Scale Limitations of IP Camouflage
by: Fan, Junling, et al.
Published: (2025) -
Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
by: Hussain, Mohyeu, et al.
Published: (2026) -
Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities
by: Swarup, Anushka, et al.
Published: (2024)