Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/148356
Title: | Poster : recovering the input of neural networks via single shot side-channel attacks | Authors: | Batina, Lejla Jap, Dirmanto Bhasin, Shivam Picek, Stjepan |
Keywords: | Science::Mathematics::Discrete mathematics::Cryptography Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
Issue Date: | 2019 | Source: | Batina, L., Jap, D., Bhasin, S. & Picek, S. (2019). Poster : recovering the input of neural networks via single shot side-channel attacks. Conference on Computer and Communications Security (CCS 2019), 2657-2659. https://dx.doi.org/10.1145/3319535.3363280 | Project: | NRF2018–NCR–NCR009–0001 | metadata.dc.contributor.conference: | Conference on Computer and Communications Security (CCS 2019) | Abstract: | The interplay between machine learning and security is becoming more prominent. New applications using machine learning also bring new security risks. Here, we show it is possible to reverse-engineer the inputs to a neural network with only a single-shot side-channel measurement assuming the attacker knows the neural network architecture being used. | URI: | https://hdl.handle.net/10356/148356 | ISBN: | 9781450367479 | DOI: | 10.1145/3319535.3363280 | Research Centres: | Temasek Laboratories @ NTU | Rights: | © 2019 The Owner/Author(s). All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | TL Conference Papers |
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