Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2107.00495
Cited By

VeriDL: Integrity Verification of Outsourced Deep Learning Services
(Extended Version)

VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version)

1 July 2021

ArXiv (abs)PDF HTML Github (70★)

Papers citing "VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version)"

4 / 4 papers shown

A Framework for Cryptographic Verifiability of End-to-End AI Pipelines

A Framework for Cryptographic Verifiability of End-to-End AI Pipelines

353

7

0

28 Mar 2025

An Auditing Test To Detect Behavioral Shift in Language Models

An Auditing Test To Detect Behavioral Shift in Language ModelsInternational Conference on Learning Representations (ICLR), 2024

Pasquale Minervini

505

0

0

25 Oct 2024

A Survey of Fragile Model Watermarking

A Survey of Fragile Model WatermarkingSignal Processing (Signal Process.), 2024

Zhaoxia Yin

369

2

0

07 Jun 2024

Data science and Machine learning in the Clouds: A Perspective for the
Future

Data science and Machine learning in the Clouds: A Perspective for the Future

357

5

0

02 Sep 2021

Page 1 of 1