The Adversarial Implications of Variable-Time Inference-Reference-Cited by-同舟云学术

The Adversarial Implications of Variable-Time Inference

Published:2023-11-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security
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Author:

Biton Dudi¹^ORCID,Misra Aditi²^ORCID,Levy Efrat¹^ORCID,Kotak Jaidip¹^ORCID,Bitton Ron¹^ORCID,Schuster Roei³^ORCID,Papernot Nicolas⁴^ORCID,Elovici Yuval¹^ORCID,Nassi Ben⁵^ORCID

Affiliation:

1. Ben-Gurion University of the Negev, Be'er Sheva, Israel

2. University of Toronto, Toronto, Canada

3. Wild Moose, New York, NY, USA

4. University of Toronto & Vector Institute, Toronto, Canada

5. Cornell Tech, New York, NY, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605764.3623912

Reference52 articles.

1. [n. d.]. YOLOv3 implementation: darknet. https://pjreddie.com/darknet/yolo/. [n. d.]. YOLOv3 implementation: darknet. https://pjreddie.com/darknet/yolo/.

2. Lejla Batina , Shivam Bhasin , Dirmanto Jap , and Stjepan Picek . 2019. {CSI} {NN} : Reverse Engineering of Neural Network Architectures Through Electromagnetic Side Channel . In 28th {USENIX} Security Symposium ({USENIX} Security 19). 515--532. Lejla Batina, Shivam Bhasin, Dirmanto Jap, and Stjepan Picek. 2019. {CSI} {NN}: Reverse Engineering of Neural Network Architectures Through Electromagnetic Side Channel. In 28th {USENIX} Security Symposium ({USENIX} Security 19). 515--532.

3. Wild patterns: Ten years after the rise of adversarial machine learning

4. Wieland Brendel , Jonas Rauber , and Matthias Bethge . 2017. Decision-based adversarial attacks: Reliable attacks against black-box machine learning models. arXiv preprint arXiv:1712.04248 ( 2017 ). Wieland Brendel, Jonas Rauber, and Matthias Bethge. 2017. Decision-based adversarial attacks: Reliable attacks against black-box machine learning models. arXiv preprint arXiv:1712.04248 (2017).

5. Jason Brownlee. 2019. Deep learning for computer vision: image classification object detection and face recognition in python. Machine Learning Mastery. Jason Brownlee. 2019. Deep learning for computer vision: image classification object detection and face recognition in python. Machine Learning Mastery.