Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Overfitting, robustness, and malicious algorithms: A study of potential ..."

Samuel Yeom et al. (2020)

> Home

Details and statistics

DOI: 10.3233/JCS-191362

access: closed

type: Journal Article

metadata version: 2023-08-28

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcs/YeomGMFJ20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcs/YeomGMFJ20
Samuel Yeom, Irene Giacomelli, Alan Menaged, Matt Fredrikson, Somesh Jha:
Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning. J. Comput. Secur. 28(1): 35-70 (2020)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.