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Privacy-Preserving Adversarial Networks

19 December 2017

Ardhendu Shekhar Tripathy

Ye Wang

Prakash Ishwar

PICV

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Papers citing "Privacy-Preserving Adversarial Networks"

34 / 34 papers shown

Title
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models Navid Seidi Satyaki Roy Sajal Das Ardhendu Shekhar Tripathy 86 3 0 20 Jul 2024
Synergizing Privacy and Utility in Data Analytics Through Advanced Information Theorization Zahir Alsulaimawi 29 0 0 24 Apr 2024
Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition Behrooz Razeghi Parsa Rahimi S´ebastien Marcel FedML 133 5 0 26 Jan 2024
Preserving Privacy in GANs Against Membership Inference Attack Mohammadhadi Shateri Francisco Messina Fabrice Labeau Pablo Piantanida 44 4 0 06 Nov 2023
$α$ -Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing MirHamed Jafarzadeh Asl Mohammadhadi Shateri Fabrice Labeau 8 0 0 27 Oct 2023
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs Tianyi Zhao Hui Hu Lu Cheng 59 3 0 25 Aug 2023
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz Svyatoslav Voloshynovskiy 58 16 0 11 Jul 2022
Generating gender-ambiguous voices for privacy-preserving speech recognition Dimitrios Stoidis Andrea Cavallaro 45 14 0 03 Jul 2022
PRIVIC: A privacy-preserving method for incremental collection of location data Sayan Biswas C. Palamidessi 15 11 0 21 Jun 2022
Active Privacy-Utility Trade-off Against Inference in Time-Series Data Sharing Ece Naz Erdemir Pier Luigi Dragotti Deniz Gunduz 52 8 0 11 Feb 2022
Generative Adversarial Networks: A Survey Towards Private and Secure Applications Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 79 147 0 07 Jun 2021
Variational Leakage: The Role of Information Complexity in Privacy Leakage A. A. Atashin Behrooz Razeghi Deniz Gunduz Svyatoslav Voloshynovskiy PILM 42 9 0 05 Jun 2021
The Privacy-Utility Tradeoff of Robust Local Differential Privacy Milan Lopuhaä-Zwakenberg J. Goseling 59 4 0 22 Jan 2021
Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval Chung-Wei Weng Yauhen Yakimenka Hsuan-Yin Lin E. Rosnes Joerg Kliewer 71 3 0 07 Dec 2020
Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release Mohammadhadi Shateri Francisco Messina Pablo Piantanida Fabrice Labeau 14 15 0 20 Nov 2020
Data-driven Regularized Inference Privacy C. Wang Wee Peng Tay 83 3 0 10 Oct 2020
Can we Generalize and Distribute Private Representation Learning? Sheikh Shams Azam Taejin Kim Seyyedali Hosseinalipour Carlee Joe-Wong S. Bagchi Christopher G. Brinton 110 11 0 05 Oct 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 62 6 0 22 Jul 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey Wiebke Toussaint Aaron Yi Ding LRM 57 0 0 29 May 2020
Really Useful Synthetic Data -- A Framework to Evaluate the Quality of Differentially Private Synthetic Data Christian Arnold Marcel Neunhoeffer SyDa ELM 41 32 0 16 Apr 2020
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks Claude Rosin Ngueveu A. Boutet Carole Frindel Sébastien Gambs T. Jourdan Claude Rosin Ngueveu 71 28 0 23 Mar 2020
Privacy-Preserving Adversarial Network (PPAN) for Continuous non-Gaussian Attributes Mohammadhadi Shateri Fabrice Labeau PICV 10 4 0 11 Mar 2020
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups Sohrab Ferdowsi Behrooz Razeghi T. Holotyak Flavio du Pin Calmon Svyatoslav Voloshynovskiy PICV 18 11 0 04 Feb 2020
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy Vahid Mirjalili S. Raschka Arun Ross PICV CVBM 88 103 0 02 Jan 2020
Generating Fair Universal Representations using Adversarial Models Peter Kairouz Jiachun Liao Chong Huang Maunil R. Vyas Monica Welfert Lalitha Sankar 43 17 0 27 Sep 2019
Adversarial training approach for local data debiasing Ulrich Aïvodji F. Bidet Sébastien Gambs Rosin Claude Ngueveu Alain Tapp 54 8 0 19 Jun 2019
Real-Time Privacy-Preserving Data Release for Smart Meters Mohammadhadi Shateri Francisco Messina Pablo Piantanida Fabrice Labeau 49 38 0 14 Jun 2019
Maximal Information Leakage based Privacy Preserving Data Disclosure Mechanisms Tianrui Xiao Ashish Khisti 27 5 0 01 Apr 2019
Optimal Obfuscation Mechanisms via Machine Learning Marco Romanelli K. Chatzikokolakis C. Palamidessi AAML 37 12 0 01 Apr 2019
Mobile Sensor Data Anonymization Mohammad Malekzadeh R. Clegg Andrea Cavallaro Hamed Haddadi 175 210 0 26 Oct 2018
Generative Adversarial Privacy Chong Huang Peter Kairouz Xiao Chen Lalitha Sankar Ram Rajagopal PICV 101 42 0 13 Jul 2018
Siamese Generative Adversarial Privatizer for Biometric Data Witold Oleszkiewicz Peter Kairouz Karol J. Piczak Ram Rajagopal Tomasz Trzciñski AAML 42 16 0 23 Apr 2018
Protecting Sensory Data against Sensitive Inferences Mohammad Malekzadeh R. Clegg Andrea Cavallaro Hamed Haddadi 175 171 0 21 Feb 2018
Privacy with Estimation Guarantees Haobo Wang Lisa Vo Flavio du Pin Calmon Muriel Médard K. Duffy Mayank Varia 129 46 0 02 Oct 2017