all AI news
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability
March 8, 2024, 5:41 a.m. | Rajdeep Haldar, Yue Xing, Qifan Song
cs.LG updates on arXiv.org arxiv.org
Abstract: The existence of adversarial attacks on machine learning models imperceptible to a human is still quite a mystery from a theoretical perspective. In this work, we introduce two notions of adversarial attacks: natural or on-manifold attacks, which are perceptible by a human/oracle, and unnatural or off-manifold attacks, which are not. We argue that the existence of the off-manifold attacks is a natural consequence of the dimension gap between the intrinsic and ambient dimensions of the …
abstract adversarial adversarial attacks ambient arxiv attacks cs.cr cs.lg gap human intrinsic machine machine learning machine learning models manifold natural oracle perspective stat.ml type vulnerability work
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US