Securing LLM Workloads With NIST AI RMF in the Internet of Robotic Things
The Internet of Robotic Things (IoRT) is revolutionizing industries by enabling autonomous, AI-driven robotic systems to perform complex and collaborative tasks, such as precision agriculture, disaster response, and logistic shipping operations. However, integrating AI into IoRT introduces significa...
Saved in:
| Main Authors: | Hassan Karim, Deepti Gupta, Sai Sitharaman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10965643/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
NIST Cybersecurity Framework in the Lens of Indonesian Internal Auditors
by: Darojatum Muthi’atur Rofi’ah
Published: (2025-03-01) -
Machine Learning and Digital-Twins-Based Internet of Robotic Things for Remote Patient Monitoring
by: Sehat Ullah, et al.
Published: (2025-01-01) -
Forensic Tool Comparison on Instagram Digital Evidence Based on Android with The NIST Method
by: Imam Riadi, et al.
Published: (2018-11-01) -
Design and Hardware Implementation of a Highly Flexible PRNG System for NIST-Validated Pseudorandom Sequences
by: María de Lourdes Rivas Becerra, et al.
Published: (2025-05-01) -
Securing Cloud-Based Internet of Things: Challenges and Mitigations
by: Nivedita Singh, et al.
Published: (2024-12-01)