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SPN dash: Fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting

Publication ,  Conference
Nixon, KW; Mao, J; Shen, J; Yang, H; Li, HH; Chen, Y
Published in: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
November 5, 2018

A concerning weakness of deep neural networks is their susceptibility to adversarial attacks. While methods exist to detect these attacks, they incur significant drawbacks, ignoring external features which could aid in the task of attack detection. In this work, we propose SPN Dash, a method for detection of adversarial attacks based on integrity of sensor pattern noise embedded in submitted images. Through experiment, we show that our SPN Dash method is capable of detecting the addition of adversarial noise with up to 94% accuracy for images of size 256×256. Analysis shows that SPN Dash is robust to image scaling techniques, as well as a small amount of image compression. This performance is on par with state of the art neural network-based detectors, while incurring an order of magnitude less computational and memory overhead.

Duke Scholars

Published In

IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD

DOI

ISSN

1092-3152

ISBN

9781450359504

Publication Date

November 5, 2018
 

Citation

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Nixon, K. W., Mao, J., Shen, J., Yang, H., Li, H. H., & Chen, Y. (2018). SPN dash: Fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting. In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. https://doi.org/10.1145/3240765.3240851
Nixon, K. W., J. Mao, J. Shen, H. Yang, H. H. Li, and Y. Chen. “SPN dash: Fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, 2018. https://doi.org/10.1145/3240765.3240851.
Nixon KW, Mao J, Shen J, Yang H, Li HH, Chen Y. SPN dash: Fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting. In: IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2018.
Nixon, K. W., et al. “SPN dash: Fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting.” IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, 2018. Scopus, doi:10.1145/3240765.3240851.
Nixon KW, Mao J, Shen J, Yang H, Li HH, Chen Y. SPN dash: Fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting. IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD. 2018.

Published In

IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD

DOI

ISSN

1092-3152

ISBN

9781450359504

Publication Date

November 5, 2018