Patching the Cracks: Detecting and Addressing Adversarial Examples in Real-World Applications-Reference-Cited by-同舟云学术

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Patching the Cracks: Detecting and Addressing Adversarial Examples in Real-World Applications

Published:2024-06-24 Issue: Volume:97 Page:43-46
ISSN:
Container-title:2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)
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Author:

Bunzel Niklas¹

Affiliation:

1. Fraunhofer SIT/ATHENE/TU-Darmstadt,Darmstadt,Germany

Funder

Ministry of Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10647056/10647057/10647102.pdf?arnumber=10647102

Reference27 articles.

1. Intriguing properties of neural networks;Szegedy,2014

2. Towards deep learning models resistant to adversarial attacks;Madry,2018

3. Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates;Ghiasi,2020

4. Wasserstein adversarial examples via projected sinkhorn iterations;Wong

5. Adversarial Examples in the Physical World

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