Association for Computing Machinery (ACM) - Security of neuromorphic computing: Thwarting learning attacks using memristor's obsolescence effect

2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)

Author(s): Chaofei Yang ; Beiye Liu ; Hai Li ; Yiran Chen ; Mark Barnell ; Qing Wu ; Wujie Wen ; Jeyavijayan Rajendran
Publisher: Association for Computing Machinery (ACM)
Publication Date: 1 November 2016
Conference Location: Austin, TX, USA
Conference Date: 7 November 2016
Page(s): 1 - 6
ISBN (Electronic): 978-1-4503-4466-1
ISSN (Electronic): 1558-2434
DOI: 10.1145/2966986.2967074
Regular:

Neuromorphic architectures are widely used in many applications for advanced data processing, and often implements proprietary algorithms. In this work, we prevent an attacker with physical access... View More

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