ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2408.02814
  4. Cited By
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream
  Machine Learning Services

Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services

5 August 2024
Shaopeng Fu
Xuexue Sun
Ke Qing
Tianhang Zheng
Di Wang
    AAML
    MIACV
    SILM
ArXivPDFHTML

Papers citing "Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services"

4 / 4 papers shown
Title
A Unified Membership Inference Method for Visual Self-supervised Encoder
  via Part-aware Capability
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Jie Zhu
Jirong Zha
Ding Li
Leye Wang
19
5
0
03 Apr 2024
On the Difficulty of Defending Self-Supervised Learning against Model
  Extraction
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
Adam Dziedzic
Nikita Dhawan
Muhammad Ahmad Kaleem
Jonas Guan
Nicolas Papernot
MIACV
46
22
0
16 May 2022
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
184
410
0
16 May 2022
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
264
1,798
0
14 Dec 2020
1