Work

Adversarial Attack Bypass by Stochastic Computing

Year: 2025

Type: article

Source: IEEE Embedded Systems Letters

DOI: 10.1109/les.2025.3538552

Authors: Faeze S. Banitaba, Sercan Aygun, Mehran Shoushtari Moghadam, Amirhossein Jalilvand, Bingzhe Li, M. Hassan Najafi

Institutions: University of Louisiana at Lafayette, Case Western Reserve University, The University of Texas at Dallas

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Cisco Systems, Nvidia

Awards: CAREER: Unary Computing in Memory for Fast, Robust and Energy-Efficient Processing, RII Track-2 FEC: Precise Regional Forecasting via Intelligent and Rapid Harnessing of National Scale Hydrometeorological Big Data

OpenAlex ID: W4407128640

FWCI: 2.078

Cites: 18

Cited by: 5

Related to: 10