Zhang, Zhuohao Jerry, Kaushik, Smirity, Seo, JooYoung, Yuan, Haolin, Das, Sauvik, Findlater, Leah, Gurari, Danna, Stangl, Abigale, and Wang, Yang. ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content. Retrieved from https://par.nsf.gov/biblio/10443749. The Symposium on Usable Privacy and Security (SOUPS) .

Zhang, Zhuohao Jerry, Kaushik, Smirity, Seo, JooYoung, Yuan, Haolin, Das, Sauvik, Findlater, Leah, Gurari, Danna, Stangl, Abigale, & Wang, Yang. ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content. The Symposium on Usable Privacy and Security (SOUPS), (). Retrieved from https://par.nsf.gov/biblio/10443749.

Zhang, Zhuohao Jerry, Kaushik, Smirity, Seo, JooYoung, Yuan, Haolin, Das, Sauvik, Findlater, Leah, Gurari, Danna, Stangl, Abigale, and Wang, Yang. "ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content". The Symposium on Usable Privacy and Security (SOUPS) (). Country unknown/Code not available. https://par.nsf.gov/biblio/10443749.

@article{osti_10443749,
place = {Country unknown/Code not available}, title = {ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content}, url = {https://par.nsf.gov/biblio/10443749}, abstractNote = {}, journal = {The Symposium on Usable Privacy and Security (SOUPS)}, author = {Zhang, Zhuohao Jerry and Kaushik, Smirity and Seo, JooYoung and Yuan, Haolin and Das, Sauvik and Findlater, Leah and Gurari, Danna and Stangl, Abigale and Wang, Yang}, }