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Privacy-preserving Machine Learning through Data Obfuscation

5 July 2018

Papers citing "Privacy-preserving Machine Learning through Data Obfuscation"

38 / 38 papers shown

Title
Enterprise AI Must Enforce Participant-Aware Access Control Shashank Shreedhar Bhatt Tanmay Rajore Khushboo Aggarwal Ganesh Ananthanarayanan Ranveer Chandra ... Emre Kiciman Sumit Kumar Pandey Srinath T. V. Setty Rahul Sharma Teijia Zhao AAML SILM 193 1 0 18 Sep 2025
Privacy-Preserving Brain-Computer Interfaces: A Systematic ReviewIEEE Transactions on Computational Social Systems (IEEE TCSS), 2023 K. Xia W. Duch Y. Sun K. Xu W. Fang ... Y. Zhang D. Sang X. Xu F-Y Wang D. Wu 307 46 0 16 Dec 2024
Inference Privacy: Properties and MechanismsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2024 Fengwei Tian Ravi Tandon 335 0 0 27 Nov 2024
Proactive Schemes: A Survey of Adversarial Attacks for Social Good Vishal Asnani Xi Yin Xiaoming Liu AAML 377 1 0 24 Sep 2024
All Rivers Run to the Sea: Private Learning with Asymmetric FlowsComputer Vision and Pattern Recognition (CVPR), 2023 Yue Niu Ramy E. Ali Saurav Prakash Salman Avestimehr FedML 279 2 0 05 Dec 2023
Edge AI for Internet of Energy: Challenges and PerspectivesInternet of Things (IoT), 2023 Yassine Himeur A. Sayed A. Alsalemi F. Bensaali Abbes Amira 272 49 0 28 Nov 2023
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms S. Mittal K. Thakral Richa Singh Mayank Vatsa Tamar Glaser Cristian Canton Ferrer Tal Hassner FaML 224 3 0 24 Oct 2023
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition Andreea Bianca Popescu C. Nita Ioana Antonia Taca A. Vizitiu Lucian Mihai Itu 55 3 0 31 Aug 2023
Data Privacy Preservation on the Internet of Things Jaydip Sen S. Dasgupta 82 2 0 01 Apr 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 188 5 0 18 Jan 2023
Memorization of Named Entities in Fine-tuned BERT ModelsInternational Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2022 Andor Diera N. Lell Aygul Garifullina A. Scherp 163 2 0 07 Dec 2022
Synthetic Dataset Generation for Privacy-Preserving Machine Learning Efstathia Soufleri Gobinda Saha Kaushik Roy DD 335 3 0 06 Oct 2022
Dataset Obfuscation: Its Applications to and Impacts on Edge Machine Learning Guangsheng Yu Xu Wang Ping Yu Caijun Sun Wei Ni R. Liu 192 4 0 08 Aug 2022
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning Yunhao Yang Parham Gohari Ufuk Topcu 124 1 0 25 May 2022
Privacy Guarantees for Cloud-based State Estimation using Partially Homomorphic Encryption Sawsan Emad Amr Alanwar Yousra Alkabani M. El-Kharashi H. Sandberg Karl H. Johansson 174 6 0 08 Nov 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 228 84 0 04 Jul 2021
A Survey on Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and MachineCollective Intelligence (CI), 2021 Md. Tahmid Rashid Na Wei Dong Wang 173 15 0 03 Apr 2021
DeepBlur: A Simple and Effective Method for Natural Image Obfuscation Tao Li Minsoo Choi PICV AAML 166 21 0 31 Mar 2021
Privacy and Trust Redefined in Federated Machine LearningMachine Learning and Knowledge Extraction (MLKE), 2021 Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 167 47 0 29 Mar 2021
Membership Inference Attacks on Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021 Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 307 570 0 14 Mar 2021
Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey Mu Zhu Ahmed H. Anwar Zelin Wan Jin-Hee Cho Charles A. Kamhoua Munindar P. Singh AAML 152 14 0 21 Jan 2021
Preserving Privacy in Personalized Models for Distributed Mobile ServicesIEEE International Conference on Distributed Computing Systems (ICDCS), 2021 Akanksha Atrey Prashant J. Shenoy David D. Jensen 138 3 0 14 Jan 2021
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine LearningIEEE Conference on Decision and Control (CDC), 2020 F. Farokhi 192 6 0 30 Nov 2020
When Machine Learning Meets Privacy: A Survey and OutlookACM Computing Surveys (ACM CSUR), 2020 B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 248 318 0 24 Nov 2020
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks Sumit Kumar Jha Susmit Jha Rickard Ewetz Sunny Raj Alvaro Velasquez L. Pullum A. Swami MIACV 125 8 0 17 Sep 2020
Data Minimization for GDPR Compliance in Machine Learning ModelsAI and Ethics (AE), 2020 Abigail Goldsteen Gilad Ezov Ron Shmelkin Micha Moffie Ariel Farkash 138 71 0 06 Aug 2020
Anonymizing Machine Learning Models Abigail Goldsteen Gilad Ezov Ron Shmelkin Micha Moffie Ariel Farkash MIACV 143 7 0 26 Jul 2020
Reducing Risk of Model Inversion Using Privacy-Guided Training Abigail Goldsteen Gilad Ezov Ariel Farkash 128 5 0 29 Jun 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 356 148 0 25 Apr 2020
The Cost of Privacy in Asynchronous Differentially-Private Machine Learning F. Farokhi Nan Wu David Smith M. Kâafar FedML 84 0 0 18 Mar 2020
Artificial Intelligence for Digital Agriculture at Scale: Techniques, Policies, and Challenges Somali Chaterji Nathan D. DeLay John V. Evans Nathan Mosier B. Engel D. Buckmaster Ranveer Chandra 91 22 0 21 Jan 2020
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image SegmentationEuropean Conference on Computer Vision (ECCV), 2019 Yang He Shadi Rahimian Bernt Schiele Mario Fritz MIACV 156 56 0 20 Dec 2019
An Adaptive and Fast Convergent Approach to Differentially Private Deep LearningIEEE Conference on Computer Communications (INFOCOM), 2019 Zhiying Xu Shuyu Shi A. Liu Jun Zhao Lin Chen FedML 143 45 0 19 Dec 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 217 15 0 28 Nov 2019
Key Protected Classification for Collaborative LearningPattern Recognition (Pattern Recognit.), 2019 Mert Bulent Sariyildiz R. G. Cinbis Erman Ayday 135 11 0 27 Aug 2019
The Value of Collaboration in Convex Machine Learning with Differential PrivacyIEEE Symposium on Security and Privacy (S&P), 2019 Nan Wu Farhad Farokhi David B. Smith M. Kâafar FedML 160 108 0 24 Jun 2019
AnonymousNet: Natural Face De-Identification with Measurable Privacy Tao Li Lei Lin PICV 191 156 0 19 Apr 2019
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning Zecheng He Aswin Raghavan Guangyuan Hu S. Chai Ruby B. Lee 150 5 0 18 Jun 2018