An adversarial-example generation method for Chinese sentiment tendency classification based on audiovisual confusion and contextual association

Author:

Ou Hongxu,Yu Long,Tian Shengwei,Chen Xin,Shi Chen,Wang Bo,Zhou Tiejun

Funder

National Natural Science Foundation of China

Xinjiang Key R & D Project

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference35 articles.

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2. Goodfellow I, Shlens J, Szegedy C (2015) Explaining and harnessing adversarial examples. In: 3rd international conference on learning representations, ICLR 2015, San Diego, May 7–9, 2015, conference track proceedings. http://arxiv.org/abs/1412.6572

3. Nguyen A, Yosinski J, Clune J (2015) Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. In: IEEE conference on computer vision and pattern recognition, CVPR 2015, Boston, June 7–12, pp 427–436. https://doi.org/10.1109/CVPR.2015.7298640

4. Chakraborty A, Alam M, Dey V, Chattopadhyay A, Mukhopadhyay D (2021) A survey on adversarial attacks and defences. CAAI Trans Intell Technol 6(1):25–45. https://doi.org/10.1049/cit2.12028

5. Wang W, Wang R, Wang L, Tang B (2019) Adversarial examples generation approach for tendency classification on chinese texts. Ruan Jian Xue Bao/J Softw 30(08):2415–2427

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