all AI news
Continual Adversarial Defense
March 14, 2024, 4:43 a.m. | Qian Wang, Yaoyao Liu, Hefei Ling, Yingwei Li, Qihao Liu, Ping Li, Jiazhong Chen, Alan Yuille, Ning Yu
cs.LG updates on arXiv.org arxiv.org
Abstract: In response to the rapidly evolving nature of adversarial attacks against visual classifiers on a monthly basis, numerous defenses have been proposed to generalize against as many known attacks as possible. However, designing a defense method that generalizes to all types of attacks is not realistic because the environment in which defense systems operate is dynamic and comprises various unique attacks that emerge as time goes on. The defense system must gather online few-shot defense …
abstract adversarial adversarial attacks arxiv attacks classifiers continual cs.cr cs.cv cs.lg defense designing environment however nature the environment type types visual
More from arxiv.org / cs.LG updates on arXiv.org
Digital Over-the-Air Federated Learning in Multi-Antenna Systems
2 days, 14 hours ago |
arxiv.org
Bagging Provides Assumption-free Stability
2 days, 14 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
RL Analytics - Content, Data Science Manager
@ Meta | Burlingame, CA
Research Engineer
@ BASF | Houston, TX, US, 77079