Recessive Social Networking : Preventing Privacy Leakage against Reverse Image Search

Zhang, Jiajie and Zhang, Bingsheng and Lin, Jiancheng (2019) Recessive Social Networking : Preventing Privacy Leakage against Reverse Image Search. In: 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) :. IEEE, pp. 211-219. ISBN 9781728130279

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This work investigates the image privacy problem in the context of social networking under the threat of reverse image search. We introduce a new concept called recessive social networking. Unlike conventional privacy-preserving social networking, in our setting, the aim is to deceive machine learning algorithms that used in reverse image search, while still enabling unaffected ubiquitous social networking among humans. We, for the first time, ultilize adversarial example technique as a defensive mechanism to protect image privacy against content-based image search algorithms in the context of social networking. Finally, rigorous evaluations are conducted to demonstrate the effectiveness, transferability, and robustness of the proposed countermeasure.

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27 Aug 2019 12:45
Last Modified:
07 May 2024 23:20