Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images

30 March 2017

Bernt Schiele

Mario Fritz

Papers citing "Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images"

21 / 21 papers shown

Title
Image-guided topic modeling for interpretable privacy classification Alina Elena Baia Andrea Cavallaro 32 0 0 27 Sep 2024
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments Yu-Yun Tseng Tanusree Sharma Lotus Zhang Abigale Stangl Leah Findlater Yang Wang Danna Gurari 64 0 0 25 Jul 2024
Towards Tracing Code Provenance with Code Watermarking Wei Li Borui Yang Yujie Sun Suyu Chen Ziyun Song Liyao Xiang Xinbing Wang Cheng Zhou WaLM 6 6 0 21 May 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 21 4 0 11 Apr 2023
Belief Revision based Caption Re-ranker with Visual Semantic Information Ahmed Sabir Francesc Moreno-Noguer Pranava Madhyastha Lluís Padró BDL 14 2 0 16 Sep 2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong D. Baron H. Dai FedML 26 46 0 08 Jun 2022
DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection Guang Yang Juan Cao Qiang Sheng Peng Qi Xirong Li Jintao Li 28 13 0 17 Mar 2022
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples Zhuoran Liu Zhengyu Zhao A. Kolmus Tijn Berns Twan van Laarhoven Tom Heskes Martha Larson AAML 27 6 0 25 Nov 2021
Unveiling Real-Life Effects of Online Photo Sharing V. Nguyen Adrian Daniel Popescu Jérôme Deshayes-Chossart 25 4 0 24 Dec 2020
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Sahar Abdelnabi Mario Fritz WaLM 18 1 0 07 Sep 2020
NoPeek: Information leakage reduction to share activations in distributed deep learning Praneeth Vepakomma Abhishek Singh O. Gupta Ramesh Raskar MIACV FedML 11 84 0 20 Aug 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 265 0 09 Jun 2020
Better Captioning with Sequence-Level Exploration Jia Chen Qin Jin 29 12 0 08 Mar 2020
Compositional Generalization in Image Captioning Mitja Nikolaus Mostafa Abdou Matthew Lamm Rahul Aralikatte Desmond Elliott CoGe 14 49 0 10 Sep 2019
Describing like humans: on diversity in image captioning Qingzhong Wang Antoni B. Chan 19 97 0 28 Mar 2019
Image Privacy Prediction Using Deep Neural Networks Ashwini Tonge Cornelia Caragea 10 52 0 08 Mar 2019
Artificial Intelligence in Intelligent Tutoring Robots: A Systematic Review and Design Guidelines Jinyu Yang Bo Zhang 13 49 0 26 Feb 2019
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zhangyang Wang Zhaowen Wang Hailin Jin AAML PICV 10 153 0 22 Jul 2018
Learning to Evaluate Image Captioning Yin Cui Guandao Yang Andreas Veit Xun Huang Serge J. Belongie 27 147 0 17 Jun 2018
Improving Image Captioning with Conditional Generative Adversarial Nets Chen Chen Shuai Mu Wanpeng Xiao Zexiong Ye Liesi Wu Qi Ju GAN 21 90 0 18 May 2018
Adversarial Semantic Alignment for Improved Image Captions Pierre L. Dognin Igor Melnyk Youssef Mroueh Jerret Ross Tom Sercu 19 16 0 30 Apr 2018