"Adversarial Machine Learning: On the Resilience of Third-party Library ..."

Phuong Thanh Nguyen et al. (2021)

> Home

Details and statistics

DOI: 10.1145/3463274.3463809

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ease/NguyenRRSP21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ease/NguyenRRSP21
Phuong Thanh Nguyen, Davide Di Ruscio, Juri Di Rocco, Claudio Di Sipio, Massimiliano Di Penta:
Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems. EASE 2021: 247-253

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.