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cs.CV2025
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
Hossein Khalili, Seongbin Park, Venkat Bollapragada +1
As vision-based machine learning models are increasingly integrated into autonomous and cyber-physical systems, concerns about (physical) adversarial patch attacks are growing. Whi…
cs.CR2025
To See or Not to See -- Fingerprinting Devices in Adversarial Environments Amid Advanced Machine Learning
Justin Feng, Amirmohammad Haddad, Nader Sehatbakhsh
The increasing use of the Internet of Things raises security concerns. To address this, device fingerprinting is often employed to authenticate devices, detect adversaries, and ide…