Mohammad Malekzadeh, Anastasia Borovykh, Deniz Gündüz. Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs. In Yongdae Kim, Jong Kim 0001, Giovanni Vigna, Elaine Shi, editors, CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15 - 19, 2021. pages 825-844, ACM, 2021. [doi]
@inproceedings{MalekzadehBG21, title = {Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs}, author = {Mohammad Malekzadeh and Anastasia Borovykh and Deniz Gündüz}, year = {2021}, doi = {10.1145/3460120.3484533}, url = {https://doi.org/10.1145/3460120.3484533}, researchr = {https://researchr.org/publication/MalekzadehBG21}, cites = {0}, citedby = {0}, pages = {825-844}, booktitle = {CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15 - 19, 2021}, editor = {Yongdae Kim and Jong Kim 0001 and Giovanni Vigna and Elaine Shi}, publisher = {ACM}, isbn = {978-1-4503-8454-4}, }