4 citations · 4 across the 3 of their papers we have counts for
3 papers
Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks
Kacem Khaled, Mouna Dhaouadi, Felipe Gohring de Magalhães +1
Model stealing attacks have become a serious concern for deep learning models, where an attacker can steal a trained model by querying its black-box API. This can lead to intellect…
Integrated Photonic AI Accelerators under Hardware Security Attacks: Impacts and Countermeasures
Felipe Gohring de Magalhães, Mahdi Nikdast, Gabriela Nicolescu
Integrated photonics based on silicon photonics platform is driving several application domains, from enabling ultra-fast chip-scale communication in high-performance computing sys…
Careful What You Wish For: on the Extraction of Adversarially Trained Models
Kacem Khaled, Gabriela Nicolescu, Felipe Gohring de Magalhães
Recent attacks on Machine Learning (ML) models such as evasion attacks with adversarial examples and models stealing through extraction attacks pose several security and privacy th…