demonstration

Demo: Exploiting Indices for Man-in-the-Middle Attacks on Collaborative Unpooling Autoencoders

Authors:

Kichang Lee,

Jonghyuk Yun,

Jun Han,

Jeonggil KoAuthors Info & Claims

MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services

Pages 598 - 599

https://doi.org/10.1145/3581791.3597291

Published: 18 June 2023 Publication History

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Abstract

In this demonstration, we introduce the vulnerability of indices in unpooling autoencoders. We show that this small factor can be maliciously exploited by performing man-in-the-middle attacks to eavesdrop on the victim's data, resulting in reconstruction and adversarial attacks. Such attacks especially make systems that integrate collaborative inference operations vulnerable. This demo presentation will empirically show the feasibility of index-based attacks by launching reconstruction and adversarial attacks on embedded/mobile computing platforms.

References

[1]

Jungmo Ahn, Youngki Lee, Jeongseob Ahn, and JeongGil Ko. 2023. Server load and network-aware adaptive deep learning inference offloading for edge platforms. Internet of Things 21 (2023), 100644.

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[2]

Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. 2017. Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence 39, 12 (2017), 2481--2495.

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Marten Oltrogge, Nicolas Huaman, Sabrina Amft, Yasemin Acar, Michael Backes, and Sascha Fahl. 2021. Why Eve and Mallory Still Love Android: Revisiting TLS (In) Security in Android Applications. In USENIX Security Symposium. 4347--4364.

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Liguo Weng, Yiming Xu, Min Xia, Yonghong Zhang, Jia Liu, and Yiqing Xu. 2020. Water areas segmentation from remote sensing images using a separable residual segnet network. ISPRS International Journal of Geo-Information 9, 4 (2020), 256.

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Index Terms

Demo: Exploiting Indices for Man-in-the-Middle Attacks on Collaborative Unpooling Autoencoders
1. Security and privacy
  1. Software and application security

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Published In

MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services

June 2023

651 pages

ISBN:9798400701108

DOI:10.1145/3581791

General Chairs:
Petteri Nurmi,
Pan Hui,
Program Chairs:
Ardalan Amiri Sani,
Yunxin Liu

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

In-Cooperation

SIGOPS: ACM Special Interest Group on Operating Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 June 2023

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Funding Sources

National Research Foundation of Korea

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MobiSys '23

Sponsor:

SIGMOBILE

MobiSys '23: 21st Annual International Conference on Mobile Systems, Applications and Services

June 18 - 22, 2023

Helsinki, Finland

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MobiSys '23 Paper Acceptance Rate 41 of 198 submissions, 21%;

Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Recommendations

Surviving Distributed Denial-of-Service Attacks

Multi-Channel Man-in-the-Middle attacks against protected Wi-Fi networks: A state of the art review

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