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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Fastened CROWN: Tightened Neural Network Robustness Certificates

February 1, 2023

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Authors

Zhaoyang Lyu

The Chinese University of Hong Kong


Ching-Yun Ko

MIT


Zhifeng Kong

University of California San Diego


Ngai Wong

The University of Hong Kong


Dahua Lin

The Chinese University of Hong Kong


Luca Daniel

Massachusetts Institute of Technology


DOI:

10.1609/aaai.v34i04.5944


Abstract:

The rapid growth of deep learning applications in real life is accompanied by severe safety concerns. To mitigate this uneasy phenomenon, much research has been done providing reliable evaluations of the fragility level in different deep neural networks. Apart from devising adversarial attacks, quantifiers that certify safeguarded regions have also been designed in the past five years. The summarizing work in (Salman et al. 2019) unifies a family of existing verifiers under a convex relaxation framework. We draw inspiration from such work and further demonstrate the optimality of deterministic CROWN (Zhang et al. 2018) solutions in a given linear programming problem under mild constraints. Given this theoretical result, the computationally expensive linear programming based method is shown to be unnecessary. We then propose an optimization-based approach FROWN (Fastened CROWN): a general algorithm to tighten robustness certificates for neural networks. Extensive experiments on various networks trained individually verify the effectiveness of FROWN in safeguarding larger robust regions.

Topics: AAAI

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HOW TO CITE:

Zhaoyang Lyu||Ching-Yun Ko||Zhifeng Kong||Ngai Wong||Dahua Lin||Luca Daniel Fastened CROWN: Tightened Neural Network Robustness Certificates Proceedings of the AAAI Conference on Artificial Intelligence (2020) 5037-5044.

Zhaoyang Lyu||Ching-Yun Ko||Zhifeng Kong||Ngai Wong||Dahua Lin||Luca Daniel Fastened CROWN: Tightened Neural Network Robustness Certificates AAAI 2020, 5037-5044.

Zhaoyang Lyu||Ching-Yun Ko||Zhifeng Kong||Ngai Wong||Dahua Lin||Luca Daniel (2020). Fastened CROWN: Tightened Neural Network Robustness Certificates. Proceedings of the AAAI Conference on Artificial Intelligence, 5037-5044.

Zhaoyang Lyu||Ching-Yun Ko||Zhifeng Kong||Ngai Wong||Dahua Lin||Luca Daniel. Fastened CROWN: Tightened Neural Network Robustness Certificates. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.5037-5044.

Zhaoyang Lyu||Ching-Yun Ko||Zhifeng Kong||Ngai Wong||Dahua Lin||Luca Daniel. 2020. Fastened CROWN: Tightened Neural Network Robustness Certificates. "Proceedings of the AAAI Conference on Artificial Intelligence". 5037-5044.

Zhaoyang Lyu||Ching-Yun Ko||Zhifeng Kong||Ngai Wong||Dahua Lin||Luca Daniel. (2020) "Fastened CROWN: Tightened Neural Network Robustness Certificates", Proceedings of the AAAI Conference on Artificial Intelligence, p.5037-5044

Zhaoyang Lyu||Ching-Yun Ko||Zhifeng Kong||Ngai Wong||Dahua Lin||Luca Daniel, "Fastened CROWN: Tightened Neural Network Robustness Certificates", AAAI, p.5037-5044, 2020.

Zhaoyang Lyu||Ching-Yun Ko||Zhifeng Kong||Ngai Wong||Dahua Lin||Luca Daniel. "Fastened CROWN: Tightened Neural Network Robustness Certificates". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.5037-5044.

Zhaoyang Lyu||Ching-Yun Ko||Zhifeng Kong||Ngai Wong||Dahua Lin||Luca Daniel. "Fastened CROWN: Tightened Neural Network Robustness Certificates". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 5037-5044.

Zhaoyang Lyu||Ching-Yun Ko||Zhifeng Kong||Ngai Wong||Dahua Lin||Luca Daniel. Fastened CROWN: Tightened Neural Network Robustness Certificates. AAAI[Internet]. 2020[cited 2023]; 5037-5044.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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